SURVEY SAMPLING IN ECONOMIC AND SOCIAL RESEARCH
|
|
- Cuthbert Melton
- 8 years ago
- Views:
Transcription
1 SURVEY SAMPLIG I ECOOMIC AD SOCIAL RESEARCH
2 Studa Eonomczne ZESZYTY AUKOWE WYDZIAŁOWE UIWERSYTETU EKOOMICZEGO W KATOWICACH
3 SURVEY SAMPLIG I ECOOMIC AD SOCIAL RESEARCH Edted b Janusz L. Wwał and Tomasz Żądło Katowce 0
4 Komtet Redacn Kstna Lseca (pzewodncząca, Anna Lebda-Wbona (seetaz, Floan Kuźn, Maa Mchałowsa, Anton edelńs, Iena Pa, Stansław Swadźba, Tadeusz Tzasal, Janusz Wwał, Teesa Żabńsa Komtet Redacn Wdzału Zaządzana Janusz Wwał (edato naczeln, Wocech Gamot (seetaz, Teesa Żabńsa, Jace Szołtse, Włodzmez Rudn Rada Pogamowa Loenzo Fatton, Mao Glow, Mloš Kál, Bonsław Mcheda, Zdeně Moláš, Maan oga, Gwo-Hsu Tzeng Redato Elżbeta Spadzńsa-Ża Copght b Wdawnctwo Unwestetu Eonomcznego w Katowcach 0 ISB ISS Wesą pewotną Studów Eonomcznch est wesa papeowa Wszele pawa zastzeżone. Każda epoduca lub adaptaca całośc bądź częśc nnesze publac, nezależne od zastosowane techn epoduc, wmaga psemne zgod Wdawc WYDAWICTWO UIWERSYTETU EKOOMICZEGO W KATOWICACH ul. Maa 50, Katowce, tel , fa e-mal: wdawnctwo@ue.atowce.pl
5 COTET ITRODUCTIO... 7 Czesław Domańs FIRST ASSOCIATIOS OF POLISH STATISTICIAS... Steszczene... 7 Wocech Gamot O POOL-ADJACET-VIOLATORS ALGORITHM AD ITS PERFORMACE FOR O-IDEPEDET VARIABLES... 8 Steszczene... 9 Anna Imołe, Janusz Gołaszews, Dausz Załus, Zbgnew asals PRACTICAL STATISTICAL AD ECOOMIC ASPECTS OF USIG SURVEY STUDIES FOR IDETIFICATIO OF THE KEY PLAT CULTIVATIO TECHOLOGY FACTORS... 3 Steszczene Aadusz Kozłows THE USEFULESS OF PAST DATA I SAMPLIG DESIG FOR EXIT POLL SURVEYS Steszczene Jan Kubac, Alna Jędzecza THE COMPARISO OF GEERALIZED VARIACE FUCTIO WITH OTHER METHODS OF PRECISIO ESTIMATIO FOR POLISH HOUSEHOLD BUDGET SURVEY Steszczene Doota Raczewcz SOME ASPECTS OF POST EUMERATIO SURVEYS I POPULATIO CESUSES I POLAD AD GERMAY Steszczene... 76
6 Ondře Vlus OPTIMIZATIO OF SAMPLE SIZE AD UMBER OF TASKS PER RESPODET I COJOIT STUDIES USIG SIMULATED DATASETS Steszczene Janusz L. Wwał O LIMIT DISTRIBUTIO OF HORVITZ-THOMPSO STATISTIC UDER THE REJECTIVE SAMPLIG Steszczene Tomasz Żądło O ACCURACY OF TWO PREDICTORS FOR SPATIALLY AD TEMPORALLY CORRELATED LOGITUDIAL DATA Steszczene AUTHORS... 06
7 ITRODUCTIO Sample suves povde one of the most challengng felds fo applng the statstcal methodolog. The confont the eseache wth a vast dvest of unque pactcal poblems encounteed n the couse of studng populatons. The nclude, but ae not lmted to: non-samplng eos, specfc populaton stuctues, contamnated dstbutons of stud vaables, non-satsfacto sample szes, ncopoaton of the aula nfomaton avalable on man levels, smultaneous estmaton of chaactestcs n vaous subpopulatons, ntegaton of data fom man waves o phases of the suve and ncompletel specfed samplng pocedues. Omnpesent constants on tme and cost addtonall complcate the pocess of desgnng a suve. Dealng wth such condtons bngs about the need fo fomulatng sophstcated statstcal pocedues dedcated to specfc condtons of a sample suve. It gves bth to wde vaet of appoaches, methodologes and pocedues boowng the stength fom vtuall all banches of statstcs. Ths monogaph was pepaed on the bass of the papes that wee pesented dung the seventh confeence Suve Samplng n Economc and Socal Reseach that too place on 8-0 Septembe 0 n Katowce, Poland. The chaptes ae etended and mpoved vesons of the confeence papes. The authos deal wth vaous theoetcal and pactcal ssues. The common motve of all papes s the elaton to sample suves. The pape of Czesław Domańs s devoted to the fst thee most valuable achevements of Polsh statstcans and the nfluence on the development of ntenatonal statstcs. Fstl, the Autho dscusses the ole of Tadeusz Plat ( pofesso of statstcs and admnstaton at the Lvov Unvest as a co-founde of the Intenatonal Statstcal Insttute. Secondl, the dea of the fst Polsh census conducted n 789 s pesented, whch was devsed and eecuted b a membe of Palament Fde Józef eal Moszńs ( Thdl, the establshment of the fst Polsh Cha of Statstcs n the Wasaw School of Law and Admnstaton s dscussed, whch was headed b Wawznec Suowec ( pofesso of statstcs and economcs. Wocech Gamot concentates on the Pool-Adacent-Volatos algothm sometmes abbevated as PAVA. The ognal algothm s fomulated unde the assumpton of ndependence between andom vaables whose epectatons ae to be estmated. Seveal modfcatons of ths pocedue wee developed n the lteatue but unde ndependence. Hence, n ths pape a smulaton stud s caed out to assess popetes of PAVA-based odeed pobablt estmates unde coelaton.
8 8 ITRODUCTIO Anna Imołe, Janusz Gołaszews, Dausz Załus and Zbgnew asals dscuss pactcal statstcal and economc aspects of usng suve studes fo dentfcaton of the e plant cultvaton technolog factos. The consde suve stud caed out n 008 n ode to detemne the e elements n a plant poducton technolog and to calculate unt poducton costs of gowng wnte e (Secale ceeale L. fo gan. The suves coveed e gan poduces n notheasten Poland, who gow e on an aceage of ove ha. The economc analss was pefomed based on dect outlas on poducton; unt costs and dect magn wee calculated and the stuctue of costs as well as poftablt of wnte e poducton wee detemned. Aadusz Kozłows studes usefulness of past data n samplng desgn fo et poll suves. The man stess s put on the use of wdel avalable databases contanng detals of past electons esults. B means of smulaton epements the effectveness of technque of connectng the selecton of new sample wth past esults (ted sample pocedue s evaluated and optmal paametes fo ths technque ae ndcated. A modfcaton of the pocedue s also poposed. The best esults ae obtaned fo statfed samplng wth the use of elements of ted sample pocedue. The possbltes of cost educton of suves wthout peudce to the effectveness b means of the ght selecton of solel lage pecncts ae also ndcated. Jan Kubac and Alna Jędzecza compae Genealzed Vaance Functon wth othe methods of pecson estmaton fo Polsh Household Budget Suve. A statng pont was the estmaton of Balanced Repeated Replcaton vaances o bootstap vaances n the stuaton whee usng BRR was not applcable. To evaluate the GVF model the hpebolc functon was used. The computaton was done usng WesVAR and SPSS softwae and some specal pocedues pepaed fo R-poect envonment. The assessment of estmates consstenc fo countes was also conducted b means of small aea models. Doota Raczewcz pesents some aspects of post enumeaton suves n populaton censuses n Poland and Geman. The Autho begns wth compason of populaton censuses n Poland and Geman. et attenton s pad to data qualt and potental eos n populaton censuses. Compason s made of pncples of post-enumeaton suves n censuses n Poland and Geman. What s moe, ntenatonal ecommendaton on qualt assessment of populaton censuses accodng to the U and EUROSTAT s pesented. Ondře Vlus dcussed optmzaton of sample sze and numbe of tass pe espondent n conont studes usng smulated datasets. The Autho pesents an appoach based on analzng batches of smulated datasets wth gven chaactestcs. The atcle ncludes ovevew of the esults fo choce-based conont studes wth usual level of complet. Seach fo an optmal combnaton
9 ITRODUCTIO 9 of sample sze and numbe of tass pe espondent that allows us to acheve equed accuac of ou outputs wth optmal cost s of man focus but senstvt of the ecommendatons wth espect to changes n fed paametes of the datasets s also ncluded. Janusz L. Wwał studes lmt dstbuton of Hovtz-Thompson statstc unde the eectve samplng. On the bass of the papes b Bege and Snne (005 and Háe (964 he consdes the lmt dstbuton of H-T statstc standadzed b ts sample vaance. Moeove, the vaance of the H-T estmato s consdeed unde the assumpton that the aula vaable value s the obsevaton of the vaable unde stud but wth measung eo. Tomasz Żądło compaes accuac of two pedctos fo spatall and tempoall coelated longtudnal data based on Monte Calo smulaton stud usng R pacage. The fst pedcto unde stud s the empcal best lnea unbased pedcto (EBLUP deved fo some specal case of the Geneal Lnea Med Model whee spatal and tempoal coelatons ae taen nto account. The second pedcto s EBLUP deved unde the assumpton of lac of spatal and tempoal coelaton.
10
11 Czesław Domańs FIRST ASSOCIATIOS OF POLISH STATISTICIAS. Intal Remas The ea 0 wll wtness the celebatons of the 00th annvesa of foundng the Polsh Statstcal Socet the fst assocaton of statstcans n Poland. The pesent confeence offes an ecellent oppotunt to pesent the contbuton made b Polsh statstcans towads an oveall development of statstcs as a dscplne of scence and ddactcs. The confeence wll also commemoate the ublee of the Cha of Statstcs whch was establshed 60 eas ago, fst as a pat of the Hghe School of Economcs, then the Academ of Economcs and pesentl the Economc Unvest n Katowce. It s woth pesentng hee thee most valuable achevements of Polsh statstcans and the nfluence on the development of ntenatonal statstcs, long befoe the Polsh Statstcal Socet came nto estence.. Conductng n 789 the fst-eve natonal census, whch was devsed and eecuted b a membe of Palament Fde Józef eal Moszńs ( Establshng n 8 the Cha of Statstcs n the Wasaw School of Law and Admnstaton, whch was headed b Wawznec Suowec ( pofesso of statstcs and economcs. 3. Co-foundng the Intenatonal Statstcal Insttute b pofesso of statstcs and admnstaton at the Lvov Unvest Tadeusz Plat ( Statstcal congesses.. Statstcal Congesses Befoe the Intenatonal Statstcal Insttute was founded n 840 t became customa fo scholas epesentng one banch of scence to meet at congesses whose man am was develop methods of posng and solvng mpotant poblems. The fst dea of statstcal congesses was conceved n London n 85 b Lambet Adolphe Jacques Quételet ( , the
12 Czesław Domańs chaman of the cental Belgan Statststcal Commsson. The congesses wee held n co-opeaton wth the govenment of the espectve count whee the net sesson was scheduled. Standadzng of admnstatve statstcs and adoptng a geneal methodolog of conductng censuses wee the man poblems dscussed dung subsequent statstcal congesses. Altogethe nne sessons of such congesses wee convened n the followng ctes: Bussels (853, Pas (855, Venna (857, London (860, Beln (863, Floence (867, the Hague (869, St. Petesbug (87, Budapest (876. At St. Petesbug Congess n 87 a commsson was set up n ode to supevse wos on the unfcaton of the ntenatonal statstcs. In 878 the commsson poposed that a specal ntenatonal bod, fosteng coopeaton between natonal statstcal offces should be fomed. Howeve, the poposal was eected b Geman and Swtzeland who wee of the opnon that such a bod would unnecessal ntefee wth the ntenal affas of ndvdual countes. As a esult of ths opposton congesses ceased to be convened, et the dea of mang statstcs an ntenatonal dscplne was not abandoned. Followng a sees of meetngs n Pas and London, a conventon was held on June 4, 885 n London, whee the Intenatonal Statstcal Insttute was bought nto beng. The conventon, attended b patcpants, was called sesson and fom that tme onwads all the egula meetngs of membes have become nown as sessons of the Intenatonal Statstcal Insttute (ISI. Polsh statstcans wee among those statstcans who too an actve pat n foundng the Intenatonal Statstcal Insttute and wee the Insttute membes. The most emnent epesentatve of the Polsh statstcs of the tme was August Ceszows ( A. Ceszows, who attended the Statstcal Congess n Pas n 855, was the man speae of one of the sessons of the Congess. The name of Tadeusz Zgmunt Plat should also be bought hee, as the fst Polsh membe of the Insttute among ts 00 statuto epesentatves. Tadeusz Plat ( gaduated fom the Unvest of Lvov and and contnued hs educaton n Beln whee he specalzed n statstcs unde the scentfc supevson of a enowned schola d Edmund Engel. In 867 he eaned hs docto s degee n law on the bass of the doctoal dssetaton Pactce n all poltcal and legal slls. Two eas late Plat obtaned a postdoctoal degee havng wtten the habltaton thess enttled Uebe den Begff des wtschaftlchen Wethes and became a pvate assocate pofesso n the Cha of Socal Economcs of the Lvov Unvest. He was confeed hs second postdoctoal degee n admnstatve law (870 and developed futhe hs nowledge of statstcs dung hs studes n the Pussan Statstcal Offce n Beln (87. In 87 Tadeusz Plat was apponted assstant pofesso of Unvest of Lvov and became the head of the Cha of Statstcs
13 FIRST ASSOCIATIOS OF POLISH STATISTICIAS 3 and Admnstaton, and a few eas late (878 he became a full pofesso. He was elected to be the dean of the Facult of Law and Admnstaton (fou tems of offce.e. 880/88, 884/885, 889/890, 900/90, the Pesdent of the Unvest (886/887, the Vce-Pesdent (887/888. Snce 909 he was an honoa pofesso. In the eas Plat seved seveal tems of offce as a deput fo the Galca Palament. He headed the Statstcal Offce of the atonal Depatment n Lvov fo ove fou decades (874-90, and woed as a deput mashal of the atonal Depatment ( In 888 he was apponted a coespondng membe of the Academ of Leanng n Cacow, and snce 98 a membe of the Polsh Academ of Leanng. He was also a membe of the Boad ( and vce-pesdent of the Galcan Economc Socet, a coespondng membe of the Cental Statstcal Commsson n Venna (snce 876, and a full membe of the Scentfc Socet n Lvov (snce 90. The etensve scentfc output of the Autho ncludes nte ala: Methods of Collectng Data fo Havest Statstcs (87, On Muncpal Statstcal Offces (87, Composton of Commune Repesentaton n Ctes and Towns of Galca (874, Statstcal Pesentaton of Communal Stuctue n Galca and Results of Local Electons (874, The Tetboo of Statstcs of Galca (900, and Statstcs (93. In hs studes Plat pesented methodologcal poblems, focusng on agcultual statstcs. Among methods used n statstcs of vegetable poducton he poposed estmaton methods as an mpotant souce of statstcal nfomaton. 3. Fst Geneal Census n Poland The begnnngs of statstcal actvtes on the Polsh tetoes concde wth the poceedngs of the so called Fou Yea Palament Sesson.e. the eas The Palament adopted a esoluton on cang out n 789 the fst natonal populaton census combned wth smoe egstaton. The Census esults wee to help the Palament to pass a bll on mposng a new ta, whch was supposed to povde mone towads epenses on pemanent, one-hunded- -thousand am. The autho of the statstcal tables of the 789 Census and a statstcal method of the mlta ta calculaton was a deput Fde Józef eal Moszńs ( It s woth notng that although the populaton and smoe egstaton of 789 was the fst state census, numeous othe egstes, nventoes and censuses appeaed n Poland as eal as 6th centu (e.g. populaton census of the Cacow Docese ( and the Ploc Docese of the eas 773, 776 and 778 and the wee conducted fo ta, economc, mlta and chuch easons. The numecal data contaned n these egstes
14 4 Czesław Domańs eman valuable souce of statstcal nfomaton fo all nds of estmatons and analses. Moszńs ponted out that the wealth of the state cannot be measued b the affluence of seveal astocatc famles and a couple of thousands of ch ctzens, but t athe should be measued b settlements, the wealth of townspeople and countmen, pospeous tade and floushng cafts. The statstcal method of the mlta ta assessment poposed b Moszns n the Palament was of absolutel unque chaacte and t was used nowhee else ethe befoe o afte that tme. In ode to measue the value of land and popet n a gven povat (dstct n an obectve wa he poposed a statstcal method based on the followng data: value of land and popet n the povat assessed on the bass of deeds of sales fo the peod of last eas as ecoded n dstct boos; t was seen as epesentatve enough fo mang calculatons, numbe of smoes obtaned fom teasue taffs; both alenated fo the peod of last eas and those whch wee not subect to puchase o sale. The obtaned nfomaton allowed the Teasue Commssons to mae calculatons based on the value of alenated goods, thans to smoe numbes, and assess pecsel the value of popetes n a gven povat tang nto account the popoton between smoes of alenated goods and the total. Fde Józef Moszńs suppoted the dea of the so-called co- -equaton that s a fa fscal sstem whch made the gent and the chuch pa taes based on pofts deved fom the land and popet. As a esult of Moszńs s ntensve effots the Fou Yea Palament ( passed a legslatve act of geat mpotance and etemel nteestng fo the hsto of statstcs n Poland a consttuton of June, 789 nown as Smoe Inspecton and Populaton Regste whch was n fact the fst populaton census n the hsto of Poland. The census ncluded the ual and the uban populaton and ecluded the gent and the cleg. It encompassed the followng categoes: se, occupaton and socal status obsevng the dffeence between sons (n two age goups up to 5 eas and above 5 eas and daughtes. The fst estmatons of the populaton numbe n Poland wee poduced b some of the above-mentoned statstcans. Józef Wbc povded n 777 the estmated numbe of populaton of people; Alesande Buchng n 77 gave the numbe of 8.5 mllon; Stansław Staszc n 785 estmated the populaton at the level of 6 mllon; Fde Moszńs, afte the fst census of 789 poduced the numbe of people; the fgue dd not nclude the gent and the cleg, who wee not the subect of the census, et the numbe was estmated at the level of thousand.
15 FIRST ASSOCIATIOS OF POLISH STATISTICIAS 5 4. Fst Cha of Statstcs The gowth of nteest n statstcs n Poland was maed b the foundaton of the fst cente of statstcal nowledge the Cha of Statstcs at the Wasaw School of Law and Admnstaton n 8. Headng the Cha was entusted to a statstcan and economst Wawznec Suowec ( Afte the fst Cha of Statstcs had been establshed, thee was an upsuge n the nteest n statstcs as a sepaate banch of scence and not as a tool to be used n admnstaton. It s woth tang a close loo at the pofle of the fst Polsh pofesso of statstcs. He was bon n Gnezno povnce n a gent faml of modeate means. Havng completed hs studes Suowec stated pofessonal caee as a pvate tuto what helped hm to get to now academc centes of Venna and Desden. In 807 he became a membe of the Wasaw Socet of Fends of Scences and at the tme he alead bult hs eputaton as an epet n socal ssues. Although he onl gave lectues n statstcs fo one ea, he was engaged n educatonal and scentfc actvtes fo most of hs lfe. In 8 he was apponted as a seceta geneal n the Mnst of Educaton and esgned fom pedagogcal dutes. In the Congess Kngdom of Poland he too the post n the Councl fo admnstatve affas and educatonal funds. The lst of most mpotant studes of W. Suowec s qute long and ncludes among othes: On the fall of ndust and towns n the old Poland (80, On ves and floatng of the Gand Duch of Wasaw (80, On statstcs of the Gand Duch of Wasaw (8-83. Suowec also too nteest n the populaton poblems and eamned dffeent easons fo populaton development. As a statstcan he peceved was, llteac, non-poductve calamtes and maladmnstaton as factos whch advesel affected populaton development. Wawznec Suowec togethe wth Ignac Stawas and Domn Ksńs wee the fst Polsh scholas to defne the subect and tass of statstcs. I. Stawas and D. Ksńs epessed the vews at the meetngs of the Wasaw Socet of Fends of Scences. The fome voced hs opnons n Septembe 809 but hs pesentaton was publshed n the Annals of the Socet n 8 whle the latte pesented them n Apl 84. W. Suowec not onl ceated a boad famewo fo statstcs but also woed to develop ths elatvel new feld of scence b gvng lectues n the Academ of Law and Admnstaton n the academc ea 8/8.
16 6 Czesław Domańs 5. Fnal Remas Two sessons of the Intenatonal Statstcal Insttute wee held n Poland. In August 99 Wasaw was the host of the 8th Sesson of the Intenatonal Statstcal Insttute. The fact that Poland was the oganze of the sesson epessed espect of the ntenatonal statstcal communt fo the achevements of Polsh statstcs. S Polsh epesentatves gave pesentatons n the couse of the Sesson: E. Sztum de Sztem: Statstcal method fo eamnaton of ndces of economc development; E. Lpńs: Remas on wong methods of the Polsh Insttute of Economc and Pce Reseach; S. Rzepewcz: On possblt of compang cme statstcs n dffeent countes; S. Szulc: On the so-called standadzaton o mpovng coeffcents; J. eman: Contbuton to the theo of elablt of statstcal hpotheses; J. Peałewcz: Ependtue and evenue of publc-legal assocatons. In Septembe 975 the 40th Sesson of the Intenatonal Statstcal Insttute was oganzed n Wasaw. Dung the Sesson Polsh statstcans pesented the followng papes: W. Maceews, W. Welfe: Foecastng models fo the natonal econom plannng and the elevance of the natonal nfomaton sstem; K. Zagós: Soco-demogaphc statstcs n the sstem of cental socoeconomc plannng; R. Batoszńs: A model fo s of abes; T. Walcza: The ole of moden statstcal nfomaton sstem fo management and plannng; E. Kzeczowsa: An ntegated sstem of ntenatonal statstcal compasons; J. Kudca: The possbltes of applng nput-output elatons to the econometc macomodels. Refeences Domańs, Cz. (0 Setna ocznca powstana Polsego Towazstwa Statstcznego (00 eas of the Polsh Statstcal Socet. Wadomośc Statstczne n 9(604, wzeseń 0, -0. Domańs, Cz. (004 Jubleusz Polsego Towazstwa Statstcznego Tadce obecne zadana statst w Polsce (Jublee of the Polsh Statstcal Socet. Tadton and the pesent-da tass of statstcs n Poland, ed. A. Zelaś, Wdawnctwo AE Kaów.
17 FIRST ASSOCIATIOS OF POLISH STATISTICIAS 7 Kleczńs, J. (886 Mędznaodow Insttut Statstczn (Intenatonal Statstcal Insttute. Pzegląd Pols oczn XI, t. II, Łuaszewcz, J. (995 Polsa hstoogafa a statsta (Polsh hstoogaph and statstcs. Bblotea Wadomośc Statstcznch, t. 46, Romanu, K. (975 Udzał Pols w pacach Mędznaodowego Insttutu Statstcznego (Contbuton of Poland to the wo of the Intenatonal Statstcal Insttute. Wadomośc Statstczne n 8. PIERWSZE ZRZESZEIE POLSKICH STATYSTYKÓW Steszczene W 0 ou pzpada 00. ocznca powstana pewszego zzeszena statstów polsch Polsego Towazstwa Statstcznego. Wato na te onfeenc zaznaczć wład statstów polsch w ozwó statst ao dscpln nauowe ddatczne. Konfeenca ta ma ówneż chaate ubleuszow, zwązan z 60-lecem Kated Statst, dzałaące wcześne w amach Wższe Szoł Eonomczne, potem Aadem Eonomczne, a obecne Unwestetu Eonomcznego w Katowcach. Wspomnm edne o tzech osągnęcach polsch statstów, tóe maą oddzałwane mędznaodowe:. Pzepowadzene w 789 ou pewszego spsu państwowego, tóego pomsłotwócą głównm ealzatoem bł poseł h. Fde Józef Moszńs ( Powołane w 8 ou Kated Statst w Szole Pawa Admnstac w Waszawe, tóe eownctwo powezono pofesoow statst eonom Wawzńcow Suowecemu ( Współudzał w twozenu Mędznaodowego Insttutu Statstcznego pofesoa statst admnstac Unwestetu Lwowsego Tadeusza Plata (
18 Wocech Gamot O POOL-ADJACET-VIOLATORS ALGORITHM AD ITS PERFORMACE FOR O-IDEPEDET VARIABLES. Intoducton Estmaton of odeed epectatons s a poblem that has attacted attenton of eseaches fo moe than fft eas. Ths nteest s eflected b a wde lteatue statng wth papes of Ae at al (955, Bun (955 and van Eeden (956, 957, 958, Katz (963 as well as Hanson et al (973, Sacowtz and Stawdeman (974 and then developed among othes b Sacowtz (98, Lee (983, Best and Chaavat (990, Chaas and van Eeden (99, Qan (99, Bloc et al (994, Ahua and Oln (00, Budaov et al (004, Jewel and Kalbflesch (004 and Hansohm (007. A good summa of the state of nowledge s pesented n monogaphs of Robetson et al. (988 and van Eeden (006. Somehow, t appeas that appoaches of all these authos shae a common featue. amel, t s alwas assumed that andom vaables fo whch one deses to compute estmates satsfng odeng constants ae ndependent. Ths autho s not awae of an estmaton pocedue that accounts fo possble coelaton between such vaables. Hence two possble choces ae: constuctng a pocedue dedcated to coelated data o nvestgatng the popetes of estng estmaton stateges when ndependence assumpton s dopped. In ths pape the ognal Pool-Adacent-Volatos algothm (PAVA of Ae et al (955 s evsted and ts popetes n the case of non-zeo coelaton ae assessed n a smulaton stud.. Pool-Adacent-Volatos algothm Let,,..., n be unnown pobabltes satsfng a smple ode:... n (
19 O POOL-ADJACET-VIOLATORS ALGORITHM 9 Let ndependent tals be made of an event wth pobablt fo,...,n. Let denote the numbe of successes n the -th tal and let * p / fo,...,n. The PAVA pocedue computes estmates p,..., p n of,..., n satsfng ( b teatvel goupng (megng ntal estmates * * p,..., p n nto blocs and aveagng them wthn each bloc. The pocedue wos though epeatng followng steps (see Hädle (99, Ae et al (955 and de Leeuw et al (009. Assgn each component fo,...,n to a sepaate goup so ntall (0 (0 n goups G,..., G n est. Set ntal estmate of mean pobablt n each -th (0 * goup to ~ p g p fo g,...,n g Whle thee est some goups n the -th step of algothm such that assocated estmates of mean pobablt volate the odeng constant, fnd ( ( ( mamum-length sequence of such goups (sa G g, Gg+,..., Gh and mege them (+ ( ( ( (+ ( nto a sngle goup G g G g G g+... G h whle G G + hg + fo >g and assgn a mean pobablt estmate ~ ( p to the goup ( G + g ( ( whle ~ + p ~ p fo >g + hg g ( + ( + G g G g 3 When teaton stops afte the last sa K-th step (whee K {0,,...}, wth H goups emanng assgn a mean pobablt estmate computed fo a goup to each of ts membe components so that the fnal estmate fo the component s ( p ~ p g fo G g, g,,...,h If,..., n ae ndependent, ths pocedue leads to a vecto of estcted mamum lelhood estmates fo pobabltes,,..., n. We wll now abandon the ndependence assumpton and allow fo some coelaton among s. 3. A smple coelaton model To nvestgate popetes of PAVA estmato n the case when vaables ae coelated we wll assume a smple model statng that coelaton coeffcent between ndvdual bna vaables s the same fo all pas of subsequent vaables: (,, (, 3, ( 3, 4,...,( -,. Hence a pocedue geneatng bna andom vectos n the fom [,..., ] satsfng E( m and Cov(, - / V 0.5 ( V 0.5 ( - fo,..., and some abtal chosen
20 Wocech Gamot 0 m (0,, (0, s needed. Let a vecto U [U,...,U ] consst of ndependent components: U ~Unf(0, and denote: p (m m - (-m (-m m m - ( p 0 m p (3 The fst component of ma be geneated as J (m and subsequent components ae obtaned accodng to the fomula: 0 fo m p J fo m p J 0 (4 whee < a U fo 0 a U fo (a J (5 fo,..., so that E(J (a a. Such a smple pocedue elds a vecto satsfng desed constants snce: m p (m p p p m ( m p m m p m ( m p J E m m p J E 0 0 P( E( P( E( E( and ( V ( V m ( - m ( - m (m m m p m m m m p m m P( P( m m, P( E( E( E(, Cov ( The pocedue depends on the ablt to geneate pseudo-andom numbes U,...,U mtatng ndependent andom vaables havng unfom dstbuton on (0,. Man such geneatos ae wdel avalable ncludng the fast mplementaton of Mesenne-Twste algothm b Matsumoto and shmua (998 mplemented n the R pacage. Ths geneato wll be used n
21 O POOL-ADJACET-VIOLATORS ALGORITHM ou stud. Some sample output of the poposed pocedue wll now be pesented. Fo m [/40, /40, 3/40,...,] and 0 we got a tpcal ealzaton of a bna andom vecto: [ ] Fo m [0.5,...,0.5] and 0 we got a tpcal ealzaton: [ ] Fo m [0.5,...,0.5] and 0.8 we got a tpcal ealzaton: 3 [ ] Fo m [0.5,...,0.5] and -0.8 we got a tpcal ealzaton: 4 [ ] 4. Smulaton esults A smulaton stud was caed out n ode to assess how the bas and mean squae eo of PAVA estmates fo odeed pobabltes depend on the sample sze when vaables ae coelated. Thee smulaton epements wee caed out. In each epement the sequence of n 0,40,...,00 bna vectos was geneated ndependentl h tmes usng the pocedue descbed n pevous secton. All the epements wee caed out usng scpts n R (R Development Coe Team (0. PAVA estmates wee computed usng the gpava functon mplemented n the R sotone pacage (see de Leeuw et al (009 fo a descpton. In the fst epement magnal pobabltes wee set to: m [0.48, 0.49, 0.5, 0.5,0.5] wth 0.0, 0., 0.5, 0.8. In the second epement the wee set to m [0.33, 0.33, 0.35, 0.37,0.37] wth 0.0, 0., 0.5, 0.8. In the thd epement magnal pobabltes amounted to: m 3 m [0.48, 0.49, 0.5, 0.5,0.5]
22 Wocech Gamot wth 0.0, -0., -0.5, Magnal pobabltes wee chosen close to each othe n ode to mae the effects of coectng beached constants b PAVA cleal vsble. The bas and mean squae eo obseved n the fst epement ae shown n fgues and. The bas and mean squae eo obseved n the second epement ae shown n fgues 3 and 4. The bas and mean squae eo obseved n the thd epement ae shown n fgues 5 and Bas( Bas( Bas( Bas( p p p 3 p 4 p Fg.. The bas of PAVA estmates fo m m and 0.0, 0., 0.5, 0.8 In all thee epements the scope of obseved bas depends on the poston of a vaable n the smple ode (. The bas fo estmates p 4 and p 5 of ghtmost pobabltes 4 and 5 tends to be postve whle fo leftmost pobabltes and the bas of estmatos p and p tends to be negatve.
23 O POOL-ADJACET-VIOLATORS ALGORITHM 3 Meanwhle, estmato p 3 of the nnemost pobablt 3 seems to be appomatel unbased. The ntoducton of stong postve coelaton n the fst and second epement seems to educe the bas to some etent. The effect of negatve coelaton assessed n the thd epement s moe comple: estmates of outemost vaables and 5 seem to be unaffected whle the bas of estmates fo and 4 s slghtl educed. Anwa, n all epements and fo all paametes,..., 5 the bas of estmates appaentl tends to zeo when sample sze n nceases. Hence thee s no evdence that the asmptotc unbasedness of PAVA estmates whch was poven b Ae et al (955 unde assumpton of ndependence ceases to hold n the pesence of coelaton MSE(... 5e-04 e-03 e-0 MSE(... 5e-04 e-03 e-0 p p p 3 p 4 p MSE(... 5e-04 e-03 e-0 MSE(... 5e-04 e-03 e Fg.. The MSE of PAVA estmates fo m m and 0.0, 0., 0.5, 0.8
24 4 Wocech Gamot 0 0. Bas( Bas( Bas( Bas( p p p 3 p 4 p Fg. 3. The bas of PAVA estmates fo m m and 0.0, 0., 0.5, 0.8 The mean squae eo of estmates depends on a poston of a vaable n the ode ( as well. In all thee epements the MSE fo estmatos p and p 5 s cleal the hghest of all the fve and onl n the second epement the obseved dffeence between these two s moe ponounced (wth p beng somehow moe accuate than p 5. Anwa, n all epements the MSE of all estmatos p,...,p 5 appaentl tends to zeo wth gowng sample sze whch suggests that consstenc s etaned unde coelaton.
Additional File 1 - A model-based circular binary segmentation algorithm for the analysis of array CGH data
1 Addtonal Fle 1 - A model-based ccula bnay segmentaton algothm fo the analyss of aay CGH data Fang-Han Hsu 1, Hung-I H Chen, Mong-Hsun Tsa, Lang-Chuan La 5, Ch-Cheng Huang 1,6, Shh-Hsn Tu 6, Ec Y Chuang*
More informationAn Algorithm For Factoring Integers
An Algothm Fo Factong Integes Yngpu Deng and Yanbn Pan Key Laboatoy of Mathematcs Mechanzaton, Academy of Mathematcs and Systems Scence, Chnese Academy of Scences, Bejng 100190, People s Republc of Chna
More informationAREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL MODEL OF BUILDING BLOCKAGE
Radoengneeng Aea Coveage Smulatons fo Mllmete Pont-to-Multpont Systems Usng Buldng Blockage 43 Vol. 11, No. 4, Decembe AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL
More informationEfficient Evolutionary Data Mining Algorithms Applied to the Insurance Fraud Prediction
Intenatonal Jounal of Machne Leanng and Computng, Vol. 2, No. 3, June 202 Effcent Evolutonay Data Mnng Algothms Appled to the Insuance Faud Pedcton Jenn-Long Lu, Chen-Lang Chen, and Hsng-Hu Yang Abstact
More informationA New replenishment Policy in a Two-echelon Inventory System with Stochastic Demand
A ew eplenshment Polcy n a wo-echelon Inventoy System wth Stochastc Demand Rasoul Haj, Mohammadal Payesh eghab 2, Amand Babol 3,2 Industal Engneeng Dept, Shaf Unvesty of echnology, ehan, Ian (haj@shaf.edu,
More informationPerturbation Theory and Celestial Mechanics
Copyght 004 9 Petubaton Theoy and Celestal Mechancs In ths last chapte we shall sketch some aspects of petubaton theoy and descbe a few of ts applcatons to celestal mechancs. Petubaton theoy s a vey boad
More informationKeywords: Transportation network, Hazardous materials, Risk index, Routing, Network optimization.
IUST Intenatonal Jounal of Engneeng Scence, Vol. 19, No.3, 2008, Page 57-65 Chemcal & Cvl Engneeng, Specal Issue A ROUTING METHODOLOGY FOR HAARDOUS MATIALS TRANSPORTATION TO REDUCE THE RISK OF ROAD NETWORK
More information(Semi)Parametric Models vs Nonparametric Models
buay, 2003 Pobablty Models (Sem)Paametc Models vs Nonpaametc Models I defne paametc, sempaametc, and nonpaametc models n the two sample settng My defnton of sempaametc models s a lttle stonge than some
More informationPCA vs. Varimax rotation
PCA vs. Vamax otaton The goal of the otaton/tansfomaton n PCA s to maxmze the vaance of the new SNP (egensnp), whle mnmzng the vaance aound the egensnp. Theefoe the dffeence between the vaances captued
More informationA Resource Scheduling Algorithms Based on the Minimum Relative Degree of Load Imbalance
Jounal of Communcatons Vol. 10, No. 10, Octobe 2015 A Resouce Schedulng Algothms Based on the Mnmum Relatve Degee of Load Imbalance Tao Xue and Zhe Fan Depatment of Compute Scence, X an Polytechnc Unvesty,
More informationStatistical modelling of gambling probabilities
Ttle Statstcal modellng of gamblng pobabltes Autho(s) Lo, Su-yan, Vcto.; 老 瑞 欣 Ctaton Issued Date 992 URL http://hdl.handle.net/0722/3525 Rghts The autho etans all popetay ghts, (such as patent ghts) and
More informationJoint Virtual Machine and Bandwidth Allocation in Software Defined Network (SDN) and Cloud Computing Environments
IEEE ICC 2014 - Next-Geneaton Netwokng Symposum 1 Jont Vtual Machne and Bandwdth Allocaton n Softwae Defned Netwok (SDN) and Cloud Computng Envonments Jonathan Chase, Rakpong Kaewpuang, Wen Yonggang, and
More informationMixed Task Scheduling and Resource Allocation Problems
Task schedulng and esouce allocaton 1 Mxed Task Schedulng and Resouce Allocaton Poblems Mae-José Huguet 1,2 and Pee Lopez 1 1 LAAS-CNRS, 7 av. du Colonel Roche F-31077 Toulouse cedex 4, Fance {huguet,lopez}@laas.f
More informationA Mathematical Model for Selecting Third-Party Reverse Logistics Providers
A Mathematcal Model fo Selectng Thd-Pat Revese Logstcs Povdes Reza Fazpoo Saen Depatment of Industal Management, Facult of Management and Accountng, Islamc Azad Unvest - Kaaj Banch, Kaaj, Ian, P. O. Box:
More informationElectric Potential. otherwise to move the object from initial point i to final point f
PHY2061 Enched Physcs 2 Lectue Notes Electc Potental Electc Potental Dsclame: These lectue notes ae not meant to eplace the couse textbook. The content may be ncomplete. Some topcs may be unclea. These
More informationPrejudice and the Economics of Discrimination
Pelmnay Pejudce and the Economcs of Dscmnaton Kewn Kof Chales Unvesty of Chcago and NB Jonathan Guyan Unvesty of Chcago GSB and NB Novembe 17, 2006 Abstact Ths pape e-examnes the ole of employe pejudce
More informationA Novel Lightweight Algorithm for Secure Network Coding
A Novel Lghtweght Algothm fo Secue Netwok Codng A Novel Lghtweght Algothm fo Secue Netwok Codng State Key Laboatoy of Integated Sevce Netwoks, Xdan Unvesty, X an, Chna, E-mal: {wangxaoxao,wangmeguo}@mal.xdan.edu.cn
More informationGravitation. Definition of Weight Revisited. Newton s Law of Universal Gravitation. Newton s Law of Universal Gravitation. Gravitational Field
Defnton of Weght evsted Gavtaton The weght of an object on o above the eath s the gavtatonal foce that the eath exets on the object. The weght always ponts towad the cente of mass of the eath. On o above
More informationBending Stresses for Simple Shapes
-6 Bendng Stesses fo Smple Sapes In bendng, te maxmum stess and amount of deflecton can be calculated n eac of te followng stuatons. Addtonal examples ae avalable n an engneeng andbook. Secton Modulus
More informationTRUCK ROUTE PLANNING IN NON- STATIONARY STOCHASTIC NETWORKS WITH TIME-WINDOWS AT CUSTOMER LOCATIONS
TRUCK ROUTE PLANNING IN NON- STATIONARY STOCHASTIC NETWORKS WITH TIME-WINDOWS AT CUSTOMER LOCATIONS Hossen Jula α, Maged Dessouky β, and Petos Ioannou γ α School of Scence, Engneeng and Technology, Pennsylvana
More informationeconstor zbw www.econstor.eu
econsto www.econsto.eu De Open-Access-Publkatonsseve de ZBW Lebnz-Infomatonszentum Wtschaft The Open Access Publcaton Seve of the ZBW Lebnz Infomaton Cente fo Economcs Babazadeh, Reza; Razm, Jafa; Ghods,
More informationOn the Efficiency of Equilibria in Generalized Second Price Auctions
On the Effcency of Equlba n Genealzed Second Pce Auctons Ioanns Caaganns Panagots Kanellopoulos Chstos Kaklamans Maa Kyopoulou Depatment of Compute Engneeng and Infomatcs Unvesty of Patas and RACTI, Geece
More informationInstitut für Halle Institute for Economic Research Wirtschaftsforschung Halle
Insttut fü Halle Insttute fo Economc Reseach Wtschaftsfoschung Halle A Smple Repesentaton of the Bea-Jaque-Lee Test fo Pobt Models Joachm Wlde Dezembe 2007 No. 13 IWH-Dskussonspapee IWH-Dscusson Papes
More informationOrbit dynamics and kinematics with full quaternions
bt dynamcs and knematcs wth full quatenons Davde Andes and Enco S. Canuto, Membe, IEEE Abstact Full quatenons consttute a compact notaton fo descbng the genec moton of a body n the space. ne of the most
More informationDiscussion Papers. Thure Traber Claudia Kemfert
Dscusson Papes Thue Tabe Clauda Kemfet Impacts of the Geman Suppot fo Renewable Enegy on Electcty Pces, Emssons and Pofts: An Analyss Based on a Euopean Electcty Maket Model Beln, July 2007 Opnons expessed
More informationA Coverage Gap Filling Algorithm in Hybrid Sensor Network
A Coveage Ga Fllng Algothm n Hybd Senso Netwok Tan L, Yang Mnghua, Yu Chongchong, L Xuanya, Cheng Bn A Coveage Ga Fllng Algothm n Hybd Senso Netwok 1 Tan L, 2 Yang Mnghua, 3 Yu Chongchong, 4 L Xuanya,
More informationThe Can-Order Policy for One-Warehouse N-Retailer Inventory System: A Heuristic Approach
Atcle Te Can-Ode Polcy fo One-Waeouse N-Retale Inventoy ystem: A Heustc Appoac Vaapon Pukcanon, Paveena Caovaltongse, and Naagan Pumcus Depatment of Industal Engneeng, Faculty of Engneeng, Culalongkon
More informationA PARTICLE-BASED LAGRANGIAN CFD TOOL FOR FREE-SURFACE SIMULATION
C A N A L D E E X P E R I E N C I A S H I D R O D I N Á M I C A S, E L P A R D O Publcacón núm. 194 A PARTICLE-BASED LAGRANGIAN CFD TOOL FOR FREE-SURFACE SIMULATION POR D. MUÑOZ V. GONZÁLEZ M. BLAIN J.
More informationInternational Business Cycles and Exchange Rates
Revew of Intenatonal Economcs, 7(4), 682 698, 999 Intenatonal Busness Cycles and Exchange Rates Chstan Zmmemann* Abstact Models of ntenatonal eal busness cycles ae not able to account fo the hgh volatlty
More informationThe Detection of Obstacles Using Features by the Horizon View Camera
The Detection of Obstacles Using Featues b the Hoizon View Camea Aami Iwata, Kunihito Kato, Kazuhiko Yamamoto Depatment of Infomation Science, Facult of Engineeing, Gifu Univesit aa@am.info.gifu-u.ac.jp
More informationHow a Global Inter-Country Input-Output Table with Processing Trade Account. Can be constructed from GTAP Database
How a lobal Inte-County Input-Output Table wth Pocessng Tade Account Can be constucted fom TAP Database Manos Tsgas and Zh Wang U.S. Intenatonal Tade Commsson* Mak ehlha U.S. Depatment of Inteo* (Pelmnay
More informationStatistical Discrimination or Prejudice? A Large Sample Field Experiment. Michael Ewens, Bryan Tomlin, and Liang Choon Wang.
Statstcal Dscmnaton o Pejudce? A Lage Sample Feld Expement Mchael Ewens, yan Tomln, and Lang Choon ang Abstact A model of acal dscmnaton povdes testable mplcatons fo two featues of statstcal dscmnatos:
More informationPREVENTIVE AND CORRECTIVE SECURITY MARKET MODEL
REVENTIVE AND CORRECTIVE SECURITY MARKET MODEL Al Ahmad-hat Rachd Cheaou and Omd Alzadeh Mousav Ecole olytechnque Fédéale de Lausanne Lausanne Swzeland al.hat@epfl.ch achd.cheaou@epfl.ch omd.alzadeh@epfl.ch
More informationAN EQUILIBRIUM ANALYSIS OF THE INSURANCE MARKET WITH VERTICAL DIFFERENTIATION
QUIIRIUM YI OF T IUR MRKT WIT VRTI IFFRTITIO Mahto Okua Faculty of conomcs, agasak Unvesty, 4-- Katafuch, agasak, 8508506, Japan okua@net.nagasak-u.ac.p TRT ach nsuance poduct pe se s dentcal but the nsuance
More informationCONSTRUCTION PROJECT SCHEDULING WITH IMPRECISELY DEFINED CONSTRAINTS
Management an Innovaton fo a Sustanable Bult Envonment ISBN: 9789052693958 20 23 June 2011, Amsteam, The Nethelans CONSTRUCTION PROJECT SCHEDULING WITH IMPRECISELY DEFINED CONSTRAINTS JANUSZ KULEJEWSKI
More informationThe Costs of Disposal and Recycling. An Application to Italian Municipal Solid Waste Services
The Costs of Dsposal and Recyclng. An Applcaton to Italan Muncpal Sold Waste Sevces Gazano Abate Fabzo Ebetta Govann Faquell Davde Vannon No. 3 Decembe 011 www.caloalbeto.og/wokng_papes 011 by Gazano Abate,
More informationA New Estimation Model for Small Organic Software Project
8 03 ACADEMY PUBLISHER A New Estmaton Model o Small Oganc Sotwae Poject Wan-Jang Han, Tan-Bo Lu, and Xao-Yan Zhang School O Sotwae Engneeng, Bejng Unvesty o Posts and Telecommuncaton, Bejng, Chna Emal:
More informationREAL TIME MONITORING OF DISTRIBUTION NETWORKS USING INTERNET BASED PMU. Akanksha Eknath Pachpinde
REAL TME MONTORNG OF DSTRBUTON NETWORKS USNG NTERNET BASED PMU by Akanksha Eknath Pachpnde A Thess submtted to the Faculty of the Gaduate School of the Unvesty at Buffalo, State Unvesty of New Yok n patal
More informationLINES ON BRIESKORN-PHAM SURFACES
LIN ON BRIKORN-PHAM URFAC GUANGFNG JIANG, MUTUO OKA, DUC TAI PHO, AND DIRK IRMA Abstact By usng toc modfcatons and a esult of Gonzalez-pnbeg and Lejeune- Jalabet, we answe the followng questons completely
More informationThe transport performance evaluation system building of logistics enterprises
Jounal of Industial Engineeing and Management JIEM, 213 6(4): 194-114 Online ISSN: 213-953 Pint ISSN: 213-8423 http://dx.doi.og/1.3926/jiem.784 The tanspot pefomance evaluation system building of logistics
More informationResearch on Cloud Computing Load Balancing Based on Virtual Machine Migration
Send Odes fo Repnts to epnts@benthascence.ae 334 The Open Cybenetcs & Systecs Jounal, 205, 9, 334-340 Open Access Reseach on Cloud Coputng Load Balancng Based on Vtual Machne Mgaton Lu Kun,*, Xu Gaochao
More informationStatistical Discrimination or Prejudice? A Large Sample Field Experiment
DEPARTMENT OF ECONOMICS ISSN 1441-5429 DISCUSSION PAPER 23/12 Statstcal Dscmnaton o Pejudce? A Lage Sample Feld Expement Mchael Ewens, yan Tomln, and Lang Choon ang * Abstact A model of acal dscmnaton
More informationI = Prt. = P(1+i) n. A = Pe rt
11 Chapte 6 Matheatcs of Fnance We wll look at the atheatcs of fnance. 6.1 Sple and Copound Inteest We wll look at two ways nteest calculated on oney. If pncpal pesent value) aount P nvested at nteest
More informationGreen's function integral equation methods for plasmonic nanostructures
Geens functon ntegal equaton methods fo plasmonc nanostuctues (Ph Couse: Optcal at the Nanoscale) Thomas Søndegaad epatment of Phscs and Nanotechnolog, Aalbog Unvest, Senve 4A, K-9 Aalbog Øst, enma. Intoducton
More informationCharging the Internet Without Bandwidth Reservation: An Overview and Bibliography of Mathematical Approaches
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 9, -xxx (2003) Chagng the Intenet Wthout Bandwdth Resevaton: An Ovevew and Bblogaphy of Mathematcal Appoaches IRISA-INRIA Campus Unvestae de Beauleu 35042
More informationProject Networks With Mixed-Time Constraints
Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa
More informationSimultaneous Detection and Estimation, False Alarm Prediction for a Continuous Family of Signals in Gaussian Noise
Sultaneous Detecton and Estaton, False Ala Pedcton fo a Contnuous Faly of Sgnals n Gaussan Nose D Mchael Mlde, Robet G Lndgen, and Mos M Bean Abstact New pobles ase when the standad theoy of jont detecton
More information4. SHAFT SENSORLESS FORCED DYNAMICS CONTROL OF RELUCTANCE SYNCHRONOUS MOTOR DRIVES
4. SHAFT SENSORLESS FORCED DYNAMICS CONTROL OF RELUCTANCE SYNCHRONOUS MOTOR DRIVES 4.. VECTOR CONTROLLED RELUCTANCE SYNCHRONOUS MOTOR DRIVES WITH PRESCRIBED CLOSED-LOOP SPEED DYNAMICS Abstact: A new spee
More informationMolecular Dynamics. r F. r dt. What is molecular dynamics?
What s molecula dynamcs? Molecula Dynamcs Molecula dynamcs (MD) s a compute smulaton technque that allows one to pedct the tme evoluton of a system of nteactng patcles (atoms, molecules, ganules, etc.).
More informationCalculation of Sampling Weights
Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample
More informationDepartment of Economics Working Paper Series
Depatment of Economcs Wokng Pape Sees Reputaton and Effcency: A Nonpaametc Assessment of Ameca s Top-Rated MBA Pogams Subhash C. Ray Unvesty of Connectcut Yongl Jeon Cental Mchgan Unvest Wokng Pape 23-3
More informationDatabase Management Systems
Contents Database Management Systems (COP 5725) D. Makus Schneide Depatment of Compute & Infomation Science & Engineeing (CISE) Database Systems Reseach & Development Cente Couse Syllabus 1 Sping 2012
More informationDeterminants of Borrowing Limits on Credit Cards Shubhasis Dey and Gene Mumy
Bank of Canada Banque du Canada Wokng Pape 2005-7 / Document de taval 2005-7 Detemnants of Boowng mts on Cedt Cads by Shubhass Dey and Gene Mumy ISSN 1192-5434 Pnted n Canada on ecycled pape Bank of Canada
More informationCan Auto Liability Insurance Purchases Signal Risk Attitude?
Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang
More informationA Markov Chain Grey Forecasting Model: A Case Study of Energy Demand of Industry Sector in Iran
0 3d Iteatoal Cofeece o Ifomato ad Facal Egeeg IED vol. (0) (0) IACSIT ess, Sgapoe A Makov Cha Gey Foecastg Model: A Case Study of Eegy Demad of Idusty Secto Ia A. Kazem +, M. Modaes, M.. Mehega, N. Neshat
More informationIlona V. Tregub, ScD., Professor
Investment Potfolio Fomation fo the Pension Fund of Russia Ilona V. egub, ScD., Pofesso Mathematical Modeling of Economic Pocesses Depatment he Financial Univesity unde the Govenment of the Russian Fedeation
More informationMOTION PLANNING FOR MULTI-ROBOT ASSEMBLY SYSTEMS. M. Bonert L.H. Shu B. Benhabib*
Poceengs of the 999 ASME Desgn Engneeng Techncal Confeences Septembe -, 999, Las Vegas, Nevaa DETC99/DAC-869 MOTION PLANNING FOR MULTI-ROBOT ASSEMBLY SYSTEMS M. Bonet L.H. Shu B. Benhabb* Compute Integate
More informationStatistics Norway Department of Economic Statistics
2004/3 Mach 2004 Documents Statstcs Noway Depatment of Economc Statstcs Jan Henk Wang Non-esponse n the Nowegan Busness Tendency Suvey Peface Ths pape descbes methods fo adjustng fo non-esponse set n the
More informationAN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM
AN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM Main Golub Faculty of Electical Engineeing and Computing, Univesity of Zageb Depatment of Electonics, Micoelectonics,
More information9:6.4 Sample Questions/Requests for Managing Underwriter Candidates
9:6.4 INITIAL PUBLIC OFFERINGS 9:6.4 Sample Questions/Requests fo Managing Undewite Candidates Recent IPO Expeience Please povide a list of all completed o withdawn IPOs in which you fim has paticipated
More informationModeling and computing constrained
F EAURE A RICLE HE COMPUAION OF CONSRAINED DYNAMICAL SYSEMS: MACHING PHYSICAL MODELING WIH NUMERICAL MEHODS Reseaches have nvestgated modelng and computaton of constaned dynamcal systems, but scentsts
More informationSTUDENT RESPONSE TO ANNUITY FORMULA DERIVATION
Page 1 STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION C. Alan Blaylock, Hendeson State Univesity ABSTRACT This pape pesents an intuitive appoach to deiving annuity fomulas fo classoom use and attempts
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More informationLecture 3: Force of Interest, Real Interest Rate, Annuity
Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and
More informationDrag force acting on a bubble in a cloud of compressible spherical bubbles at large Reynolds numbers
Euopean Jounal of Mechancs B/Fluds 24 2005 468 477 Dag foce actng on a bubble n a cloud of compessble sphecal bubbles at lage Reynolds numbes S.L. Gavlyuk a,b,,v.m.teshukov c a Laboatoe de Modélsaton en
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationSpirotechnics! September 7, 2011. Amanda Zeringue, Michael Spannuth and Amanda Zeringue Dierential Geometry Project
Spiotechnics! Septembe 7, 2011 Amanda Zeingue, Michael Spannuth and Amanda Zeingue Dieential Geomety Poject 1 The Beginning The geneal consensus of ou goup began with one thought: Spiogaphs ae awesome.
More informationITEM: PUBLIC HEARING ( PUBLISHED NOTICE) TO CONSIDER FISCAL YEAR 2016/ 17 ASSESSMENTS DISTRICT NO. 93-1 WOODFIELD PARK MAINTENANCE ZONE
I CITY MANAGER' S REPORT ITEM 5. 3 MAY 2, 2016 CITY COUNCIL MEETING ITEM: PUBLIC HEARING ( PUBLISHED NOTICE) TO CONSIDER FISCAL YEAR 2016/ 17 ASSESSMENTS FOR THE LANDSCAPE AND LIGHTING MAINTEMANCE DISTRICT
More informationSecurity of Full-State Keyed Sponge and Duplex: Applications to Authenticated Encryption
Secuty of Full-State Keyed Sponge and uplex: Applcatons to Authentcated Encypton Bat Mennnk 1 Reza Reyhantaba 2 aman Vzá 2 1 ept. Electcal Engneeng, ESAT/COSIC, KU Leuven, and Mnds, Belgum bat.mennnk@esat.kuleuven.be
More informationFAIR VALUATION OF VARIOUS PARTICIPATION SCHEMES IN LIFE INSURANCE ABSTRACT
FAIR VALUAION OF VARIOUS PARIIPAION SHEMES IN LIFE INSURANE PIERRE DEVOLDER AND INMAULADA DOMÍNGUEZ-FABIÁN BY Insttut des Scences Actuaelles, Unvesté atholque de Louvan, 6 ue des Wallons, 348 Louvan la
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationQuestions & Answers Chapter 10 Software Reliability Prediction, Allocation and Demonstration Testing
M13914 Questions & Answes Chapte 10 Softwae Reliability Pediction, Allocation and Demonstation Testing 1. Homewok: How to deive the fomula of failue ate estimate. λ = χ α,+ t When the failue times follow
More informationAn Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More informationPSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12
14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed
More informationReduced Pattern Training Based on Task Decomposition Using Pattern Distributor
> PNN05-P762 < Reduced Patten Taining Based on Task Decomposition Using Patten Distibuto Sheng-Uei Guan, Chunyu Bao, and TseNgee Neo Abstact Task Decomposition with Patten Distibuto (PD) is a new task
More informationAnswer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
More informationTrading Volume and Serial Correlation in Stock Returns in Pakistan. Abstract
Tading Volume and Seial Coelation in Stock Retuns in Pakistan Khalid Mustafa Assistant Pofesso Depatment of Economics, Univesity of Kaachi e-mail: khalidku@yahoo.com and Mohammed Nishat Pofesso and Chaiman,
More informationCompetitive Targeted Advertising with Price Discrimination
Compette Tageted Adetsng wth Pce Dscmnaton Rosa Banca Estees Unesdade do Mnho and NIPE banca@eeg.umnho.pt Joana Resende Faculdade de Economa, Unesdade do Poto and CEF.UP jesende@fep.up.pt Septembe 8, 205
More informationOn the Optimal Control of a Cascade of Hydro-Electric Power Stations
On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;
More informationON THE (Q, R) POLICY IN PRODUCTION-INVENTORY SYSTEMS
ON THE R POLICY IN PRODUCTION-INVENTORY SYSTEMS Saifallah Benjaafa and Joon-Seok Kim Depatment of Mechanical Engineeing Univesity of Minnesota Minneapolis MN 55455 Abstact We conside a poduction-inventoy
More informationSTATISTICAL DATA ANALYSIS IN EXCEL
Mcroarray Center STATISTICAL DATA ANALYSIS IN EXCEL Lecture 6 Some Advanced Topcs Dr. Petr Nazarov 14-01-013 petr.nazarov@crp-sante.lu Statstcal data analyss n Ecel. 6. Some advanced topcs Correcton for
More informationCausal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting
Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of
More informationChapter 3 Savings, Present Value and Ricardian Equivalence
Chapte 3 Savings, Pesent Value and Ricadian Equivalence Chapte Oveview In the pevious chapte we studied the decision of households to supply hous to the labo maket. This decision was a static decision,
More informationContinuous Compounding and Annualization
Continuous Compounding and Annualization Philip A. Viton Januay 11, 2006 Contents 1 Intoduction 1 2 Continuous Compounding 2 3 Pesent Value with Continuous Compounding 4 4 Annualization 5 5 A Special Poblem
More informationNPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6
PAR TESTS If a WEIGHT varable s specfed, t s used to replcate a case as many tmes as ndcated by the weght value rounded to the nearest nteger. If the workspace requrements are exceeded and samplng has
More informationAnais III Simpósio Regional de Geoprocessamento e Sensoriamento Remoto Aracaju/SE, 25 a 27 de outubro de 2006
Ana III Smpóo egonal de Geopoceamento e Senoamento emoto COMPAING NET SUFACE ADIATION ESTIMATION FOM EMOTE SENSING TO FIELD DATA FOLHES, M. T. 1 ; ENNÓ, C. D. 2 ; SOAES, J. V. 2 ; SILVA, B. B. 3 ABSTACT:
More informationForecasting the Direction and Strength of Stock Market Movement
Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems
More informationThe OC Curve of Attribute Acceptance Plans
The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4
More informationSemipartial (Part) and Partial Correlation
Semipatial (Pat) and Patial Coelation his discussion boows heavily fom Applied Multiple egession/coelation Analysis fo the Behavioal Sciences, by Jacob and Paticia Cohen (975 edition; thee is also an updated
More informationDegrees of freedom in HLM models
Degees o eedom n HLM models The vaous degees o eedom n a HLM2/HLM3 model can be calculated accodng to Table 1 and Table 2. Table 1: Degees o Feedom o HLM2 Models Paamete/Test Statstc Degees o Feedom Gammas
More informationYARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH
nd INTERNATIONAL TEXTILE, CLOTHING & ESIGN CONFERENCE Magic Wold of Textiles Octobe 03 d to 06 th 004, UBROVNIK, CROATIA YARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH Jana VOBOROVA; Ashish GARG; Bohuslav
More informationTuition Fee Loan application notes
Tuton Fee Loan applcaton notes for new part-tme EU students 2012/13 About these notes These notes should be read along wth your Tuton Fee Loan applcaton form. The notes are splt nto three parts: Part 1
More informationREAL INTERPOLATION OF SOBOLEV SPACES
REAL INTERPOLATION OF SOBOLEV SPACES NADINE BADR Abstact We pove that W p s a eal ntepolaton space between W p and W p 2 fo p > and p < p < p 2 on some classes of manfolds and geneal metc spaces, whee
More information7.5. Present Value of an Annuity. Investigate
7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on
More informationHigh Availability Replication Strategy for Deduplication Storage System
Zhengda Zhou, Jingli Zhou College of Compute Science and Technology, Huazhong Univesity of Science and Technology, *, zhouzd@smail.hust.edu.cn jlzhou@mail.hust.edu.cn Abstact As the amount of digital data
More informationThe impact of migration on the provision. of UK public services (SRG.10.039.4) Final Report. December 2011
The impact of migation on the povision of UK public sevices (SRG.10.039.4) Final Repot Decembe 2011 The obustness The obustness of the analysis of the is analysis the esponsibility is the esponsibility
More informationResearch on Risk Assessment of the Transformer Based on Life Cycle Cost
ntenational Jounal of Smat Gid and lean Enegy eseach on isk Assessment of the Tansfome Based on Life ycle ost Hui Zhou a, Guowei Wu a, Weiwei Pan a, Yunhe Hou b, hong Wang b * a Zhejiang Electic Powe opoation,
More informationINITIAL MARGIN CALCULATION ON DERIVATIVE MARKETS OPTION VALUATION FORMULAS
INITIAL MARGIN CALCULATION ON DERIVATIVE MARKETS OPTION VALUATION FORMULAS Vesion:.0 Date: June 0 Disclaime This document is solely intended as infomation fo cleaing membes and othes who ae inteested in
More informationTrade and Industrial Policies with Heterogeneous Firms: The Role of Country Asymmetries
BGPE Dscusson Pape No. 94 Tade and Industal Polces th eteogeneous ms: The Role o County Asymmetes chael Plüge Stephan Russe Januay 20 ISSN 863-5733 Edto: Po. Regna T. Rphahn Ph.D. edch-alexande-unvesty
More informationRedesign of a University Hospital Preanesthesia Evaluation Clinic. using a Queuing Theory Approach
Reesgn of a Unvesty Hosptal Peanesthesa valuaton Clnc usng a Queung Theoy Appoach Maatje. Zonelan Mc ab Fe Boe MD PhD c Rcha J. Bouchee PhD b Annemek e Rooe MD PhD Jack W. van Kleef MD PhD a Dvson I Leen
More information