STUDENTS SKILLS IN MATHEMATICAL COMPUTATION USING GRAPHING CALCULATOR

Size: px
Start display at page:

Download "STUDENTS SKILLS IN MATHEMATICAL COMPUTATION USING GRAPHING CALCULATOR"

Transcription

1 STUDENTS SKILLS IN MATHEMATICAL COMPUTATION USING GRAPHING CALCULATOR Parick G. Galleo 1, and Craig N. Refugio 2 1 parick.galleo@yahoo.com, and 2 craig.refugio@gmail.com 1 Jose Rizal Memorial Sae Universiy, Dipolog Ciy, Philippines 2 Negros Orienal Sae Universiy, Dumaguee Ciy, Philippines Absrac: This sudy sough o find ou he sudens skills in mahemaical compuaion using graphing calculaor in eaching Mahemaics among freshmen College Algebra sudens of he College of Educaion of Jose Rizal Memorial Sae Universiy, Philippines. The skills ha he sudens possessed in boh he conrol and he experimenal groups on he opics included in his experimen is equivalen or comparable before he inervenion. The sudy also concludes ha he experimenal group performs significanly skillful han he conrol group afer he inervenion. I can be deduced furher ha here is a significan variaion in he sudens skills in mahemaical compuaion beween he conrol group wih he radiional mehod of eaching and he experimenal group wih he used of graphing calculaor in eaching and learning Mahemaics. In addiion, he sudy concludes ha boh he inervenions, radiional mehod of eaching and using graphing calculaor in eaching and learning Mahemaics, make improvemen in he sudens skills in mahemaical compuaion. This means ha sudens perform skillfully beer during he poses han during he prees. However, sudens skills in mahemaical compuaion in he experimenal group are grealy influenced by he graphing calculaor used by eachers and sudens in College Algebra class. This concludes ha sudens in he experimenal group perform skillfully beer han heir counerpar. 1. Inroducion Today s Mahemaics classrooms are facing rapid change more han any oher educaional discipline. These changes are cenered no only wha is being augh, bu also on how i is being augh. Educaionally, [5] averred ha he world is in a echnological boom which Mahemaics classrooms have been flooded wih elecronic eaching ools. There have been ransiions in Mahemaics classrooms, such as he evoluion from blackboard o whieboard o smarboard, bu ulimaely hose changes do no drasically aler he way in which informaion is presened. Some classrooms have abandoned he use of exbooks o provide sudens wih he chance o discover more on heir own and use each oher as learning resources. Despie he imporance of hese changes, [4] sressed ha he mos imporan change in he pas few decades has been he arrival of graphing calculaors. The user-friendliness and porabiliy of hese devices have had a major effec on he access ha sudens now have o new ways of hinking. In [2], i is poined ou ha eachers and sudens now have a new sense of power in he classroom because of he visual naure of hese graphing calculaors. In he Philippines, one of he challenges confroning a Mahemaics eacher in inegraing echnology like graphing calculaors in Mahemaics eaching is he unavailabiliy and lack of he gadge for use in he classroom [1]. The graphing calculaor has a powerful algebraic funcion. The use of a variey of is buil in programs can carry ou differen kinds of calculaions and ransformaions of polynomials, marices, deerminans, facorizaions, equaion solving, he seeking of limis and rigonomeric funcions, and many ohers. Such funcions have no only provided srong suppor for he eaching of Mahemaics, especially beginning calculus and oher

2 higher Mahemaics conen a he secondary school level, bu also graphing calculaors have become good ools for independen exploraion and experimens [8]. Imbued wih he ques of providing research based decisions involving graphing calculaors and sudens performance in Mahemaics among Educaion sudens of Jose Rizal Memorial Sae Universiy, Dipolog Campus, Dipolog Ciy, he researchers are encouraged o conduc his sudy o find ou he sudens skills in mahemaical compuaion using calculaors and deermine heir relaionship o sudens performance in Mahemaics. The resul of his sudy is expeced o consruc possible correcive measures in enhancing sudens skills in mahemaical compuaion using calculaors and performance among he eachers and sudens. 2. Theoreical and Concepual Framework of he Sudy This sudy is anchored on Dreyfus Theory of Skill Acquisiion as cied in [7]. The heory saes ha as human beings acquire a skill hrough insrucion and experiences, hey do no appear o leap suddenly from rule-guided knowing ha o experience-based knowing-how. This emphasizes ha many skills could no simply be reduced o knowing ha. The reason ha many are no conscious of heir knowing how is possibly because hey ake heir knowing-how for graned. I is believed ha here is a gradual process involved for a learner o go hrough in order for him o reach he sage of experise or knowing-how. The heory illusraes he five clear sages ha a learner goes hrough in order o evolve from knowing-ha, novice, o knowing-how, exper. The firs sage is called novice. A novice has some general ideas and is in he process of learning he rules, such as knowing he funcions and he uses of he keys of he calculaor. The second sage is advanced beginner sage. In his sage, he learner s performance improves o a relaively accepable level only afer he novice has had enough experience in copying he real siuaion. During he hird sage, compeence, he learner sars becoming personally involved wih he ask. He sars o see more han one opion from which he has o choose he bes one. In he fourh sage or proficiency sage, he learner, while inuiively undersanding his ask, sill hinks analyically abou his acions. The las sage is called experise. Expers in general know wha o do based on maure undersanding of he ask. An exper has had so much experience wih he ask ha he skill of doing he ask is a par of him. He acs upon correc inuiions wihou analyically hinking abou his every mehod. These sages emphasize on he fac ha pracice is required for he learner o mainain he knowing-how. Wihou pracice, he learner will gradually lose his experise and is mos likely o regress as far back as he compeence sage. This sudy is also grounded on he Theory of Performance [3] which saes ha performance develops and relaes conceps o form a framework ha can be used o explain resuls as well as improvemens. According o him, o perform is o produce valued resuls. He said furher ha developing performance is a journey, and level of performance describes locaion in he journey. This heory exacly connecs he presen invesigaion since he presen sudy embraces he deerminaion of sudens Mahemaics performance. Likewise, finding he level of Mahemaics performance among sudens in College Algebra purpors o performance improvemens in he subjec. I is for his reason ha his sudy was conduced o esablish suppor and srenghen research oupus involving he use of graphing calculaors in Mahemaics classroom. The research

3 aimed o invesigae he sudens skills in mahemaical compuaion using graphing calculaor in relaion o sudens Mahemaics performance in College Algebra among sudens in he College of Educaion of Jose Rizal Memorial Sae Universiy, Dipolog Campus in he Ciy of Dipolog. In his invesigaion, he researcher focused and considered wo eaching approaches such as graphing calculaor uilizaion and he radiional model in eaching Mahemaics as independen variables. I is assered in [6] ha graphing calculaor echnology is a hand-held mahemaics compuer ha draws and analyses graphs, compues he values of mahemaical expression, solves equaions, performs symbolic manipulaion, performs saisical analyses, makes program and communicaes informaion beween devices. Simply saed, i is considerably more versaile as a eaching or learning ool in which a graphics screen replaces ha of a numerical display screen. This feaure, coupled wih buil-in sofware, is capable of underaking all kinds of mahemaical work. Some of he asks made possible are graphing funcions, abulaing funcions, analyzing saisical daa, manipulaing marices, equaion-solving, calculus, probabiliy and complex analysis. In his invesigaion, he researchers aemped o find ou he sudens skills in mahemaical compuaion using graphing calculaor which included skill in solving zeros of funcion, skill in wriing equaions of funcions, skill in solving problems involving funcions, skill in solving inequaliies, and skill in graphing funcions. The graphing calculaor can easily be used o solve and/or check algebraic equaions. For example, one solves for x given 4x + 1 = 9. To process he correc value of x, he following seps are o be used, namely: ener he lef side of he equaion ino Y 1, ener he righ side of he equaion ino Y 2, graph (one may need o adjus he window o see where he wo graphs inersec), and find he poin of inersecion o reveal he answer by pressing 2nd CALC above TRACE, #5 Inersec. Figure 2.1 The Screen Windows of he Plo and he Graph of he Equaion Anoher example is finding he soluion of he sysem of inequaliies y < 3x-5 and y 2x 2-8. Using he TI 84 plus, he commands are as follows:

4 Figure 2.2 The Screen Window of he Graph & Soluion of he Sysem of Inequaliies The poins on he shaded area saisfy boh y < 3x-5 and y 2x 2-8 and is considered he soluion. OR you can use he following commands: Figure 2.3 The Screen Window of he Graph & Soluion of he Sysem of Inequaliies The poins on he double shaded area or he inersecion of he wo graphs saisfy boh y < 3x-5 and y 2x 2-8 and is considered he soluion. Anoher imporan variable in he sudy is he radiional mehod of eaching Mahemaics. In his model, purely he alk, chalk, board and eraser mehod of eaching Mahemaics are employed. This convenional sraegy does no employ echnological gadges since i is using chalk and alk scheme. Moreover, his echnique does no allow sudens o see a clear and pedagogically sound connecion beween inpu parameers and oupu resuls of mahemaical conceps. There were wo groups of respondens in he experimen, namely: he conrol and experimenal groups. The wo groups were exposed o he same lessons/subjec maers in College Algebra, o wi: Linear Funcions, Quadraic Funcions, and Polynomial Funcions. The

5 experimenal group was exposed o each of he opics menioned and developed in he sudens he five skills, namely: solving zeros of a funcion, wriing equaions of funcions, solving problems involving funcions, solving inequaliies, and graphing funcions. Funcions in his sudy were limied o linear, quadraic and polynomial funcions. Likewise, he sudy measured he sudens Mahemaics performance in wo ways, he prees and he poses. The prees was adminisered using he validaed eacher made es o he respondens in boh he conrol and he experimenal groups before he experimen commenced, afer which he experimen followed. The poses, on he oher hand, was given using he same eacher made es as adminisered in he prees o he respondens in boh he conrol and experimenal groups afer he experimen ended. 3. Resuls and Discussions Problem No. 1. Wha is he prees skill performance in mahemaical compuaion of he sudens in he conrol and experimenal groups? The daa which are presened in Tables 3.1 and 3.2 are resuls of he prees adminisered o he conrol and experimenal groups. The prees skill performance was obained before he groups were exposed o he assigned inervenions. Table 3.1 Prees Skill Performance in Mahemaical Compuaion of he Sudens in he Conrol Group Sudens Skills No. of Descripion Iems X z Solving Zeros of a Less Skillful Funcion Wriing Equaions No Skillful of Funcions Solving Problems Less Skillful Involving Funcions Solving No Skillful Inequaliies Graphing of No Skillful Funcions Toal No Skillful = hypoheical mean, = sandard deviaion, X = acual mean, z = compued z value Table 3.1 presens he prees skill performance in mahemaical compuaion of he sudens in he conrol group. Five skills were measured in he experimen, namely: skill in solving zeros of funcion, skill in wriing equaions of funcions, skill in solving problems involving funcions, skill in solving inequaliies, and skill in graphing of funcions. Sixy (60) iems were used o deermine he five skills broken ino 12 iems per skill. The expeced performance of he sudens was se a

6 75 percen of he iems ha deermined each skill. In his case, score of 9 was se as he expeced performance per skill and score of 45 for he whole insrumen. As refleced in Table 3.1, he sudens of he conrol group are less skillful in solving zeros of a funcion and solving problems involving funcions. Moreover, he respondens in he conrol group are no skillfull in wriing equaions of funcions, solving inequaliies and graphing funcions. Overall and on average, he conrol group is no skillful o he differen skills presened in he able. Table 3.2 Prees Skill Performance in Mahemaical Compuaion of he Sudens in he Experimenal Group Sudens Skills No. of Descripion Iems X z Solving Zeros of a No Skillful Funcion Wriing Equaions No Skillful of Funcions Solving Problems No Skillful Involving Funcions Solving No Skillful Inequaliies Graphing of No Skillful Funcions Toal No Skillful = hypoheical mean, = sandard deviaion, X = acual mean, z = compued z value As shown in Table 3.2, he sudens in he experimenal group are no skillful in all of he five skills, from solving zeros of funcions o graphing of funcions. Problem No. 2. Is here a significan difference on he prees skill performance in mahemaical compuaion beween he conrol and experimenal groups? Table 3.3 Tes of Difference on he Prees Skill Performance in Mahemaical Compuaion Beween he Conrol and Experimenal Groups Group N Mean Mean Difference Sandard Deviaion Conrol Experim Compued Criical Decision No Significan Refleced in able 4 is he -es analysis of he prees resuls of he skill performance in mahemaical compuaion beween he conrol and experimenal groups. Base on he compued value and he criical value a α=0.05, i is found ou ha here is no significan difference beween he prees skill performance of he conrol and experimenal groups.

7 Problem No. 3. Wha is he poses skill performance in mahemaical compuaion of he sudens in he conrol and experimenal groups? Table 3.4 Poses Skill Performance in Mahemaical Compuaion of he Sudens in he Conrol Group Sudens Skills No. of Descripion Iems X z Solving Zeros of a Skillful Funcion Wriing Equaions Skillful of Funcions Solving Problems Skillful Involving Funcions Solving Skillful Inequaliies Graphing of Skillful Funcions Toal Skillful = hypoheical mean, = sandard deviaion, X = acual mean, z = compued z value Manifesed in Table 3.4 is he performance of he conrol group in he pos es skill in mahemaical compuaions. As seen in he able, sudens in he conrol group are skillful in all of he five skills from solving zeros of a funcion o graphing of funcions. Table 3.5 Poses Skill Performance in Mahemaical Compuaion of he Sudens in he Experimenal Group Sudens Skills No. of Descripion Iems X z Solving Zeros of a Very Much Skillful Funcion Wriing Equaions Very Much Skillful of Funcions Solving Problems Very Much Skillful Involving Funcions Solving Very Much Skillful Inequaliies Graphing of Very Much Skillful Funcions Toal Very Much Skillful = hypoheical mean, = sandard deviaion, X = acual mean, z = compued z value

8 Revealed in Table 3.5 is he pos es skill performance in mahemaical compuaion in he experimenal group. As refleced, he experimenal group is very much skilful in all of he five skills from solving zeros of a funcion o graphing funcions. Problem No. 4. Is here a significan difference on he poses skill performance in mahemaical compuaion beween he conrol and experimenal groups? Table 3.6 Tes of Difference on he Poses Skill Performance in Mahemaical Compuaion Beween he Conrol and Experimenal Groups Group N Mean Mean Difference Sandard Deviaion Conrol Experim Compued Criical Inerpreaion Significan Table 3.6 shows he -es analysis on he pos es skill performance in mahemaical compuaion beween he conrol and experimenal groups. Based on he compued -value and he criical -value a α=0.05, here is a significan difference on he pos skill performance beween he experimenal and conrol groups. Problem No. 5. Is here a significan difference beween he prees and poses skill performance in mahemaical compuaion of he conrol group? Table 3.7 Tes of Difference Beween he Prees and Poses Skill Performance in Mahemaical Compuaion of he Conrol Group Conrol Group N Mean Mean Difference Sandard Deviaion Prees Poses Compued Criical Inerpreaion Significan Viewed in Table 3.7 is he -es analysis beween prees and pos es skill performance of he conrol group. Based on he compued -value and criical -value a α=0.05, here is a significan difference beween prees and pos es skill performance of he conrol group. Problem No. 6. Is here a significan difference beween he prees and poses skill performance in mahemaical compuaion of he experimenal group? Table 3.8 Tes of Difference Beween he Prees and Poses Skill Performance in Mahemaical Compuaion of he Experimenal Group Experi Group N Mean Mean Difference Sandard Deviaion Prees Poses Compued Criical Inerpreaion Significan

9 Disclosed in Table 3.8 is he -es analysis beween prees and pos es skill performance of he experimenal group. Based on he compued -value and criical -value a α=0.05, here is a significan difference beween prees and pos es skill performance of he experimenal group. Problem No. 7. Is here a significan difference in he prees and poses mean gain on skill performance in mahemaical compuaion beween he conrol and experimenal groups? Table 3.9 Tes of Difference on he Prees and Poses Mean Gain on Skill Performance in Mahemaical Compuaion Beween he Conrol and Experimenal Groups Group N Mean Gain Mean Difference Sandard Deviaion Conrol Experim Compued Criical Inerpreaion * Significan Table 3.9 discloses he -es analysis of he prees and pos es mean gain on skill performance in mahemaical compuaion beween he conrol and experimenal groups. Based on he compued -value and criical -value a α=0.05, here is a significan difference of he prees and pos es mean gain on skill performance beween he conrol and experimenal groups. 4. Findings Base on he analysis and inerpreaion of he daa colleced in his sudy, he following findings were revealed: (1) The prees skill performance in mahemaical compuaion of he conrol and he experimenal groups was described as no skillful. Prees performance of he conrol group was while in he experimenal group was in which boh were far behind he 75 percen of he oal iems esed; (2) There was no significan difference in he prees skill performance in mahemaical compuaion beween he conrol and experimenal groups; (3) The poses skill performance in mahemaical compuaion of he conrol group which was was described as skillful while he poses skill performance in mahemaical compuaion of he experimenal group which was was described as very much skillful ; (4) There was a significan difference in he poses skill performance in mahemaical compuaion beween he conrol and experimenal groups; (5) There was a significan difference beween he prees and poses skill performance in mahemaical compuaion of he conrol group; (6) There was a significan difference beween he prees and poses skill performance in mahemaical compuaion of sudens in he experimenal group; and (7) There was a significan difference in he mean gain obained on sudens skills in mahemaical compuaion beween he conrol and experimenal groups. 5. Conclusions Based on he findings, he skills ha he sudens possessed in boh he conrol and he experimenal groups on he opics included in his experimen is equivalen or comparable before he inervenion. The sudy also concludes ha he experimenal group performs significanly skillful han he conrol group afer he inervenion. I can be deduced furher ha here is a significan variaion in he sudens skills in mahemaical compuaion beween he conrol group

10 wih he radiional mehod of eaching and he experimenal group wih he used of calculaor in eaching and learning Mahemaics. In addiion, he sudy concludes ha boh he inervenions, radiional mehod of eaching and using calculaor in eaching and learning Mahemaics, make improvemen in he sudens skills in mahemaical compuaion. This means ha sudens perform skillfully beer during he poses han during he prees. However, sudens skills in mahemaical compuaion in he experimenal group are grealy influenced by he calculaor used by eachers and sudens in College Algebra class. This concludes ha sudens in he experimenal group perform skillfully beer han heir counerpar. References [1] De Las Peñas, Ma. Louise Anonee and Bauisa, Debbie Marie (2012). On Maximizing Technology Resources and Their Benefis In Teaching and Learning Mahemaics. Aeneo de Manila Universiy, Philippines. [2] Edwards, M. T., Meagher, M., &Ozgun-Koca, S. A. (2008). When is a good fi no a good fi? Dynamic regression wih he TI-nspire graphing calculaor. Mahemaics Teacher, 102(4), [3] Elger, Don (2011). Theory of Performance. Mechanical Engineering, Universiy of Idaho. hp:// [4] Heid, M. K., & Edwards, M. T. (2001). Compuer algebra sysems: Revoluion or rerofi for oday's mahemaics classrooms? Theory ino Pracice, 40(2), [5] Huoppi, David (2009). The Evoluion of Technology in Mahemaics Classrooms. [6] Jones, Keih (2005). Graphing Calculaors in he Teaching and Learning of Mahemaics: A Research Bibliography. Conemporary Issues in Technology and Teacher Educaion (2005) Volume: 21, Issue: 1990, Pages: hp:// [7] Sedaei, Sam (2003). Theory of Skill Acquisiion by Huber and Suar Dreyfus. hp://samsedaei.com/huberandsewardreyfus.pdf [8] Shore, M. A., & Shore, J. B. (2003). An inegraive curriculum approach o developmenal mahemaics and he healh professions using problem-based learning. Mah Compuaion Educaion, 37(1),

USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES

USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES Mehme Nuri GÖMLEKSİZ Absrac Using educaion echnology in classes helps eachers realize a beer and more effecive learning. In his sudy 150 English eachers were

More information

Idealistic characteristics of Islamic Azad University masters - Islamshahr Branch from Students Perspective

Idealistic characteristics of Islamic Azad University masters - Islamshahr Branch from Students Perspective Available online a www.pelagiaresearchlibrary.com European Journal Experimenal Biology, 202, 2 (5):88789 ISSN: 2248 925 CODEN (USA): EJEBAU Idealisic characerisics Islamic Azad Universiy masers Islamshahr

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

More information

4. International Parity Conditions

4. International Parity Conditions 4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency

More information

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion

More information

Course Outline. Course Coordinator: Dr. Tanu Sharma Assistant Professor Dept. of humanities and Social Sciences Email:tanu.sharma@juit.ac.

Course Outline. Course Coordinator: Dr. Tanu Sharma Assistant Professor Dept. of humanities and Social Sciences Email:tanu.sharma@juit.ac. Course Name : HUMAN RESOURCE MANAGEMENT Course Code: 10B1WPD75 Course Credi: (-0-0) Semeser: VII Course Type: Elecive (All B. Tech. sudens) Deparmen: Humaniies and Social Sciences Course Coordinaor: Dr.

More information

Vector Autoregressions (VARs): Operational Perspectives

Vector Autoregressions (VARs): Operational Perspectives Vecor Auoregressions (VARs): Operaional Perspecives Primary Source: Sock, James H., and Mark W. Wason, Vecor Auoregressions, Journal of Economic Perspecives, Vol. 15 No. 4 (Fall 2001), 101-115. Macroeconomericians

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

More information

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613. Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised

More information

Journal Of Business & Economics Research September 2005 Volume 3, Number 9

Journal Of Business & Economics Research September 2005 Volume 3, Number 9 Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: jabbour@gwu.edu), George Washingon Universiy Yi-Kang Liu, (yikang@gwu.edu), George Washingon Universiy ABSTRACT The advanage of Mone Carlo

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

Usefulness of the Forward Curve in Forecasting Oil Prices

Usefulness of the Forward Curve in Forecasting Oil Prices Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

Vida Mojtahedzadeh*, Seyed Hossein Alavi Tabari and Maryam Asgharzadeh Badr. Abstract

Vida Mojtahedzadeh*, Seyed Hossein Alavi Tabari and Maryam Asgharzadeh Badr. Abstract A Comparison beween Accouning, Business Adminisraion and Theoreical Economics Sudens on he Impac of Their Majors on Personal Saisfacion in Acquiring General Skills Vida Mojahedzadeh*, Seyed Hossein Alavi

More information

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches. Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa

More information

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009 ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal

More information

Cointegration: The Engle and Granger approach

Cointegration: The Engle and Granger approach Coinegraion: The Engle and Granger approach Inroducion Generally one would find mos of he economic variables o be non-saionary I(1) variables. Hence, any equilibrium heories ha involve hese variables require

More information

Market Liquidity and the Impacts of the Computerized Trading System: Evidence from the Stock Exchange of Thailand

Market Liquidity and the Impacts of the Computerized Trading System: Evidence from the Stock Exchange of Thailand 36 Invesmen Managemen and Financial Innovaions, 4/4 Marke Liquidiy and he Impacs of he Compuerized Trading Sysem: Evidence from he Sock Exchange of Thailand Sorasar Sukcharoensin 1, Pariyada Srisopisawa,

More information

1 HALF-LIFE EQUATIONS

1 HALF-LIFE EQUATIONS R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)

More information

Permutations and Combinations

Permutations and Combinations Permuaions and Combinaions Combinaorics Copyrigh Sandards 006, Tes - ANSWERS Barry Mabillard. 0 www.mah0s.com 1. Deermine he middle erm in he expansion of ( a b) To ge he k-value for he middle erm, divide

More information

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees

More information

Advise on the development of a Learning Technologies Strategy at the Leopold-Franzens-Universität Innsbruck

Advise on the development of a Learning Technologies Strategy at the Leopold-Franzens-Universität Innsbruck Advise on he developmen of a Learning Technologies Sraegy a he Leopold-Franzens-Universiä Innsbruck Prof. Dr. Rob Koper Open Universiy of he Neherlands Educaional Technology Experise Cener Conex - Period

More information

TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS

TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS RICHARD J. POVINELLI AND XIN FENG Deparmen of Elecrical and Compuer Engineering Marquee Universiy, P.O.

More information

Stability. Coefficients may change over time. Evolution of the economy Policy changes

Stability. Coefficients may change over time. Evolution of the economy Policy changes Sabiliy Coefficiens may change over ime Evoluion of he economy Policy changes Time Varying Parameers y = α + x β + Coefficiens depend on he ime period If he coefficiens vary randomly and are unpredicable,

More information

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas The Greek financial crisis: growing imbalances and sovereign spreads Heaher D. Gibson, Sephan G. Hall and George S. Tavlas The enry The enry of Greece ino he Eurozone in 2001 produced a dividend in he

More information

Performance Center Overview. Performance Center Overview 1

Performance Center Overview. Performance Center Overview 1 Performance Cener Overview Performance Cener Overview 1 ODJFS Performance Cener ce Cener New Performance Cener Model Performance Cener Projec Meeings Performance Cener Execuive Meeings Performance Cener

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

A Re-examination of the Joint Mortality Functions

A Re-examination of the Joint Mortality Functions Norh merican cuarial Journal Volume 6, Number 1, p.166-170 (2002) Re-eaminaion of he Join Morali Funcions bsrac. Heekung Youn, rkad Shemakin, Edwin Herman Universi of S. Thomas, Sain Paul, MN, US Morali

More information

Why Did the Demand for Cash Decrease Recently in Korea?

Why Did the Demand for Cash Decrease Recently in Korea? Why Did he Demand for Cash Decrease Recenly in Korea? Byoung Hark Yoo Bank of Korea 26. 5 Absrac We explores why cash demand have decreased recenly in Korea. The raio of cash o consumpion fell o 4.7% in

More information

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z o ffix uden abel ere uden ame chool ame isric ame/ ender emale ale onh ay ear ae of irh an eb ar pr ay un ul ug ep c ov ec as ame irs ame lace he uden abel ere ae uden denifier chool se nly rined in he

More information

SELF-EVALUATION FOR VIDEO TRACKING SYSTEMS

SELF-EVALUATION FOR VIDEO TRACKING SYSTEMS SELF-EVALUATION FOR VIDEO TRACKING SYSTEMS Hao Wu and Qinfen Zheng Cenre for Auomaion Research Dep. of Elecrical and Compuer Engineering Universiy of Maryland, College Park, MD-20742 {wh2003, qinfen}@cfar.umd.edu

More information

The Application of Multi Shifts and Break Windows in Employees Scheduling

The Application of Multi Shifts and Break Windows in Employees Scheduling The Applicaion of Muli Shifs and Brea Windows in Employees Scheduling Evy Herowai Indusrial Engineering Deparmen, Universiy of Surabaya, Indonesia Absrac. One mehod for increasing company s performance

More information

Module 3 Design for Strength. Version 2 ME, IIT Kharagpur

Module 3 Design for Strength. Version 2 ME, IIT Kharagpur Module 3 Design for Srengh Lesson 2 Sress Concenraion Insrucional Objecives A he end of his lesson, he sudens should be able o undersand Sress concenraion and he facors responsible. Deerminaion of sress

More information

Individual Health Insurance April 30, 2008 Pages 167-170

Individual Health Insurance April 30, 2008 Pages 167-170 Individual Healh Insurance April 30, 2008 Pages 167-170 We have received feedback ha his secion of he e is confusing because some of he defined noaion is inconsisen wih comparable life insurance reserve

More information

SURVEYING THE RELATIONSHIP BETWEEN STOCK MARKET MAKER AND LIQUIDITY IN TEHRAN STOCK EXCHANGE COMPANIES

SURVEYING THE RELATIONSHIP BETWEEN STOCK MARKET MAKER AND LIQUIDITY IN TEHRAN STOCK EXCHANGE COMPANIES Inernaional Journal of Accouning Research Vol., No. 7, 4 SURVEYING THE RELATIONSHIP BETWEEN STOCK MARKET MAKER AND LIQUIDITY IN TEHRAN STOCK EXCHANGE COMPANIES Mohammad Ebrahimi Erdi, Dr. Azim Aslani,

More information

Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya.

Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya. Principal componens of sock marke dynamics Mehodology and applicaions in brief o be updaed Andrei Bouzaev, bouzaev@ya.ru Why principal componens are needed Objecives undersand he evidence of more han one

More information

Return Calculation of U.S. Treasury Constant Maturity Indices

Return Calculation of U.S. Treasury Constant Maturity Indices Reurn Calculaion of US Treasur Consan Mauri Indices Morningsar Mehodolog Paper Sepeber 30 008 008 Morningsar Inc All righs reserved The inforaion in his docuen is he proper of Morningsar Inc Reproducion

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

More information

Forecasting. Including an Introduction to Forecasting using the SAP R/3 System

Forecasting. Including an Introduction to Forecasting using the SAP R/3 System Forecasing Including an Inroducion o Forecasing using he SAP R/3 Sysem by James D. Blocher Vincen A. Maber Ashok K. Soni Munirpallam A. Venkaaramanan Indiana Universiy Kelley School of Business February

More information

Analogue and Digital Signal Processing. First Term Third Year CS Engineering By Dr Mukhtiar Ali Unar

Analogue and Digital Signal Processing. First Term Third Year CS Engineering By Dr Mukhtiar Ali Unar Analogue and Digial Signal Processing Firs Term Third Year CS Engineering By Dr Mukhiar Ali Unar Recommended Books Haykin S. and Van Veen B.; Signals and Sysems, John Wiley& Sons Inc. ISBN: 0-7-380-7 Ifeachor

More information

Task is a schedulable entity, i.e., a thread

Task is a schedulable entity, i.e., a thread Real-Time Scheduling Sysem Model Task is a schedulable eniy, i.e., a hread Time consrains of periodic ask T: - s: saring poin - e: processing ime of T - d: deadline of T - p: period of T Periodic ask T

More information

A Probability Density Function for Google s stocks

A Probability Density Function for Google s stocks A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural

More information

Analysis of Pricing and Efficiency Control Strategy between Internet Retailer and Conventional Retailer

Analysis of Pricing and Efficiency Control Strategy between Internet Retailer and Conventional Retailer Recen Advances in Business Managemen and Markeing Analysis of Pricing and Efficiency Conrol Sraegy beween Inerne Reailer and Convenional Reailer HYUG RAE CHO 1, SUG MOO BAE and JOG HU PARK 3 Deparmen of

More information

ARCH 2013.1 Proceedings

ARCH 2013.1 Proceedings Aricle from: ARCH 213.1 Proceedings Augus 1-4, 212 Ghislain Leveille, Emmanuel Hamel A renewal model for medical malpracice Ghislain Léveillé École d acuaria Universié Laval, Québec, Canada 47h ARC Conference

More information

Signal Rectification

Signal Rectification 9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension

Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension Lars Frederik Brand Henriksen 1, Jeppe Woemann Nielsen 2, Mogens Seffensen 1, and Chrisian Svensson 2 1 Deparmen of Mahemaical

More information

4 Convolution. Recommended Problems. x2[n] 1 2[n]

4 Convolution. Recommended Problems. x2[n] 1 2[n] 4 Convoluion Recommended Problems P4.1 This problem is a simple example of he use of superposiion. Suppose ha a discree-ime linear sysem has oupus y[n] for he given inpus x[n] as shown in Figure P4.1-1.

More information

Novelty and Collective Attention

Novelty and Collective Attention ovely and Collecive Aenion Fang Wu and Bernardo A. Huberman Informaion Dynamics Laboraory HP Labs Palo Alo, CA 9434 Absrac The subjec of collecive aenion is cenral o an informaion age where millions of

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board

More information

Identify and ranking the factors that influence establishment of total quality management system in Payame Noor University of Lordegan

Identify and ranking the factors that influence establishment of total quality management system in Payame Noor University of Lordegan Idenify and ranking he facors ha influence esablishmen of oal qualiy sysem in Payame Noor Universiy of Lordegan Farhad Farhadi MA Suden, Deparmen of Managemen, Najafabad Branch, Islamic Azad Universiy,

More information

Chapter 4: Exponential and Logarithmic Functions

Chapter 4: Exponential and Logarithmic Functions Chaper 4: Eponenial and Logarihmic Funcions Secion 4.1 Eponenial Funcions... 15 Secion 4. Graphs of Eponenial Funcions... 3 Secion 4.3 Logarihmic Funcions... 4 Secion 4.4 Logarihmic Properies... 53 Secion

More information

Management problems of electronic information resources: A case study of UNN Library

Management problems of electronic information resources: A case study of UNN Library Vol. 5(5), pp. 126-133, June, 2013 DOI: 10.5897/IJLIS011.097 ISSN 2141 2537 2013 Academic Journals hp://www.academicjournals.org/ijlis Inernaional Journal of Library and Informaion Science Full Lengh Research

More information

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average Opimal Sock Selling/Buying Sraegy wih reference o he Ulimae Average Min Dai Dep of Mah, Naional Universiy of Singapore, Singapore Yifei Zhong Dep of Mah, Naional Universiy of Singapore, Singapore July

More information

The Real Business Cycle paradigm. The RBC model emphasizes supply (technology) disturbances as the main source of

The Real Business Cycle paradigm. The RBC model emphasizes supply (technology) disturbances as the main source of Prof. Harris Dellas Advanced Macroeconomics Winer 2001/01 The Real Business Cycle paradigm The RBC model emphasizes supply (echnology) disurbances as he main source of macroeconomic flucuaions in a world

More information

Optimal Investment and Consumption Decision of Family with Life Insurance

Optimal Investment and Consumption Decision of Family with Life Insurance Opimal Invesmen and Consumpion Decision of Family wih Life Insurance Minsuk Kwak 1 2 Yong Hyun Shin 3 U Jin Choi 4 6h World Congress of he Bachelier Finance Sociey Torono, Canada June 25, 2010 1 Speaker

More information

WATER MIST FIRE PROTECTION RELIABILITY ANALYSIS

WATER MIST FIRE PROTECTION RELIABILITY ANALYSIS WATER MIST FIRE PROTECTION RELIABILITY ANALYSIS Shuzhen Xu Research Risk and Reliabiliy Area FM Global Norwood, Massachuses 262, USA David Fuller Engineering Sandards FM Global Norwood, Massachuses 262,

More information

Measuring macroeconomic volatility Applications to export revenue data, 1970-2005

Measuring macroeconomic volatility Applications to export revenue data, 1970-2005 FONDATION POUR LES ETUDES ET RERS LE DEVELOPPEMENT INTERNATIONAL Measuring macroeconomic volailiy Applicaions o expor revenue daa, 1970-005 by Joël Cariolle Policy brief no. 47 March 01 The FERDI is a

More information

System Performance Improvement By Server Virtualization

System Performance Improvement By Server Virtualization Sysem Performance Improvemen By Server Virualizaion Hioshi Ueno, Tomohide Hasegawa, and Keiichi Yoshihama Absrac Wih he advance of semiconducor echnology, microprocessors become highly inegraed and herefore

More information

AP Calculus AB 2013 Scoring Guidelines

AP Calculus AB 2013 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was

More information

Distributing Human Resources among Software Development Projects 1

Distributing Human Resources among Software Development Projects 1 Disribuing Human Resources among Sofware Developmen Proecs Macario Polo, María Dolores Maeos, Mario Piaini and rancisco Ruiz Summary This paper presens a mehod for esimaing he disribuion of human resources

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion

More information

GUIDE GOVERNING SMI RISK CONTROL INDICES

GUIDE GOVERNING SMI RISK CONTROL INDICES GUIDE GOVERNING SMI RISK CONTROL IND ICES SIX Swiss Exchange Ld 04/2012 i C O N T E N T S 1. Index srucure... 1 1.1 Concep... 1 1.2 General principles... 1 1.3 Index Commission... 1 1.4 Review of index

More information

Trends in TCP/IP Retransmissions and Resets

Trends in TCP/IP Retransmissions and Resets Trends in TCP/IP Reransmissions and Reses Absrac Concordia Chen, Mrunal Mangrulkar, Naomi Ramos, and Mahaswea Sarkar {cychen, mkulkarn, msarkar,naramos}@cs.ucsd.edu As he Inerne grows larger, measuring

More information

Information Theoretic Evaluation of Change Prediction Models for Large-Scale Software

Information Theoretic Evaluation of Change Prediction Models for Large-Scale Software Informaion Theoreic Evaluaion of Change Predicion Models for Large-Scale Sofware Mina Askari School of Compuer Science Universiy of Waerloo Waerloo, Canada maskari@uwaerloo.ca Ric Hol School of Compuer

More information

COMPUTATION OF CENTILES AND Z-SCORES FOR HEIGHT-FOR-AGE, WEIGHT-FOR-AGE AND BMI-FOR-AGE

COMPUTATION OF CENTILES AND Z-SCORES FOR HEIGHT-FOR-AGE, WEIGHT-FOR-AGE AND BMI-FOR-AGE COMPUTATION OF CENTILES AND Z-SCORES FOR HEIGHT-FOR-AGE, WEIGHT-FOR-AGE AND BMI-FOR-AGE The mehod used o consruc he 2007 WHO references relied on GAMLSS wih he Box-Cox power exponenial disribuion (Rigby

More information

Statistical Analysis with Little s Law. Supplementary Material: More on the Call Center Data. by Song-Hee Kim and Ward Whitt

Statistical Analysis with Little s Law. Supplementary Material: More on the Call Center Data. by Song-Hee Kim and Ward Whitt Saisical Analysis wih Lile s Law Supplemenary Maerial: More on he Call Cener Daa by Song-Hee Kim and Ward Whi Deparmen of Indusrial Engineering and Operaions Research Columbia Universiy, New York, NY 17-99

More information

Time Series Analysis Using SAS R Part I The Augmented Dickey-Fuller (ADF) Test

Time Series Analysis Using SAS R Part I The Augmented Dickey-Fuller (ADF) Test ABSTRACT Time Series Analysis Using SAS R Par I The Augmened Dickey-Fuller (ADF) Tes By Ismail E. Mohamed The purpose of his series of aricles is o discuss SAS programming echniques specifically designed

More information

CLASSICAL TIME SERIES DECOMPOSITION

CLASSICAL TIME SERIES DECOMPOSITION Time Series Lecure Noes, MSc in Operaional Research Lecure CLASSICAL TIME SERIES DECOMPOSITION Inroducion We menioned in lecure ha afer we calculaed he rend, everyhing else ha remained (according o ha

More information

BALANCE OF PAYMENTS. First quarter 2008. Balance of payments

BALANCE OF PAYMENTS. First quarter 2008. Balance of payments BALANCE OF PAYMENTS DATE: 2008-05-30 PUBLISHER: Balance of Paymens and Financial Markes (BFM) Lena Finn + 46 8 506 944 09, lena.finn@scb.se Camilla Bergeling +46 8 506 942 06, camilla.bergeling@scb.se

More information

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling Behavior Analysis of a Biscui Making lan using Markov Regeneraive Modeling arvinder Singh & Aul oyal Deparmen of Mechanical Engineering, Lala Lajpa Rai Insiue of Engineering & Technology, Moga -, India

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS R. Caballero, E. Cerdá, M. M. Muñoz and L. Rey () Deparmen of Applied Economics (Mahemaics), Universiy of Málaga,

More information

Making a Faster Cryptanalytic Time-Memory Trade-Off

Making a Faster Cryptanalytic Time-Memory Trade-Off Making a Faser Crypanalyic Time-Memory Trade-Off Philippe Oechslin Laboraoire de Securié e de Crypographie (LASEC) Ecole Polyechnique Fédérale de Lausanne Faculé I&C, 1015 Lausanne, Swizerland philippe.oechslin@epfl.ch

More information

Chapter 6: Business Valuation (Income Approach)

Chapter 6: Business Valuation (Income Approach) Chaper 6: Business Valuaion (Income Approach) Cash flow deerminaion is one of he mos criical elemens o a business valuaion. Everyhing may be secondary. If cash flow is high, hen he value is high; if he

More information

Newton s Laws of Motion

Newton s Laws of Motion Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The

More information

Time-Expanded Sampling (TES) For Ensemble-based Data Assimilation Applied To Conventional And Satellite Observations

Time-Expanded Sampling (TES) For Ensemble-based Data Assimilation Applied To Conventional And Satellite Observations 27 h WAF/23 rd NWP, 29 June 3 July 2015, Chicago IL. 1 Time-Expanded Sampling (TES) For Ensemble-based Daa Assimilaion Applied To Convenional And Saellie Observaions Allen Zhao 1, Qin Xu 2, Yi Jin 1, Jusin

More information

TSG-RAN Working Group 1 (Radio Layer 1) meeting #3 Nynashamn, Sweden 22 nd 26 th March 1999

TSG-RAN Working Group 1 (Radio Layer 1) meeting #3 Nynashamn, Sweden 22 nd 26 th March 1999 TSG-RAN Working Group 1 (Radio Layer 1) meeing #3 Nynashamn, Sweden 22 nd 26 h March 1999 RAN TSGW1#3(99)196 Agenda Iem: 9.1 Source: Tile: Documen for: Moorola Macro-diversiy for he PRACH Discussion/Decision

More information

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS VII. THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS The mos imporan decisions for a firm's managemen are is invesmen decisions. While i is surely

More information

A Model of High School Student Financial Assistance System in China

A Model of High School Student Financial Assistance System in China Inernaional Journal of u- and e- Service, Science and Technology, pp.173-182 hp://dx.doi.org/10.14257/ijuness.2015.8.7.17 A Model of High School Suden Financial Assisance Sysem in China Hua Ding, Zhongliang

More information

Chapter 6 Interest Rates and Bond Valuation

Chapter 6 Interest Rates and Bond Valuation Chaper 6 Ineres Raes and Bond Valuaion Definiion and Descripion of Bonds Long-erm deb-loosely, bonds wih a mauriy of one year or more Shor-erm deb-less han a year o mauriy, also called unfunded deb Bond-sricly

More information

Chapter 1.6 Financial Management

Chapter 1.6 Financial Management Chaper 1.6 Financial Managemen Par I: Objecive ype quesions and answers 1. Simple pay back period is equal o: a) Raio of Firs cos/ne yearly savings b) Raio of Annual gross cash flow/capial cos n c) = (1

More information

Working Paper No. 482. Net Intergenerational Transfers from an Increase in Social Security Benefits

Working Paper No. 482. Net Intergenerational Transfers from an Increase in Social Security Benefits Working Paper No. 482 Ne Inergeneraional Transfers from an Increase in Social Securiy Benefis By Li Gan Texas A&M and NBER Guan Gong Shanghai Universiy of Finance and Economics Michael Hurd RAND Corporaion

More information

Multiprocessor Systems-on-Chips

Multiprocessor Systems-on-Chips Par of: Muliprocessor Sysems-on-Chips Edied by: Ahmed Amine Jerraya and Wayne Wolf Morgan Kaufmann Publishers, 2005 2 Modeling Shared Resources Conex swiching implies overhead. On a processing elemen,

More information

Real-time Particle Filters

Real-time Particle Filters Real-ime Paricle Filers Cody Kwok Dieer Fox Marina Meilă Dep. of Compuer Science & Engineering, Dep. of Saisics Universiy of Washingon Seale, WA 9895 ckwok,fox @cs.washingon.edu, mmp@sa.washingon.edu Absrac

More information

policies are investigated through the entire product life cycle of a remanufacturable product. Benefiting from the MDP analysis, the optimal or

policies are investigated through the entire product life cycle of a remanufacturable product. Benefiting from the MDP analysis, the optimal or ABSTRACT AHISKA, SEMRA SEBNEM. Invenory Opimizaion in a One Produc Recoverable Manufacuring Sysem. (Under he direcion of Dr. Russell E. King and Dr. Thom J. Hodgson.) Environmenal regulaions or he necessiy

More information

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES OPENGAMMA QUANTITATIVE RESEARCH Absrac. Exchange-raded ineres rae fuures and heir opions are described. The fuure opions include hose paying

More information

DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR

DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR Invesmen Managemen and Financial Innovaions, Volume 4, Issue 3, 7 33 DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR Ahanasios

More information

Ecological Scheduling Decision Support System Based on RIA and Cloud Computing on the YaLong River Cascade Project

Ecological Scheduling Decision Support System Based on RIA and Cloud Computing on the YaLong River Cascade Project 2012 4h Inernaional Conference on Signal Processing Sysems (ICSPS 2012) IPCSIT vol. 58 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V58.31 Ecological Scheduling Decision Suppor Sysem

More information

INTRODUCTION TO FORECASTING

INTRODUCTION TO FORECASTING INTRODUCTION TO FORECASTING INTRODUCTION: Wha is a forecas? Why do managers need o forecas? A forecas is an esimae of uncerain fuure evens (lierally, o "cas forward" by exrapolaing from pas and curren

More information

A Curriculum Module for AP Calculus BC Curriculum Module

A Curriculum Module for AP Calculus BC Curriculum Module Vecors: A Curriculum Module for AP Calculus BC 00 Curriculum Module The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy.

More information

Chapter 8 Student Lecture Notes 8-1

Chapter 8 Student Lecture Notes 8-1 Chaper Suden Lecure Noes - Chaper Goals QM: Business Saisics Chaper Analyzing and Forecasing -Series Daa Afer compleing his chaper, you should be able o: Idenify he componens presen in a ime series Develop

More information

Nowadays, almost all health organizations do not have

Nowadays, almost all health organizations do not have Original Aricle The Developmen of Nurse Residency Program OBJECTIVE: To sudy new graduae nurses work problems; o design raining program courses as well as he experimenal evaluaion of he effeciveness of

More information

RC (Resistor-Capacitor) Circuits. AP Physics C

RC (Resistor-Capacitor) Circuits. AP Physics C (Resisor-Capacior Circuis AP Physics C Circui Iniial Condiions An circui is one where you have a capacior and resisor in he same circui. Suppose we have he following circui: Iniially, he capacior is UNCHARGED

More information

METHODS OF LEARNING IN STATISTICAL EDUCATION: A RANDOMIZED TRIAL OF PUBLIC HEALTH GRADUATE STUDENTS 3

METHODS OF LEARNING IN STATISTICAL EDUCATION: A RANDOMIZED TRIAL OF PUBLIC HEALTH GRADUATE STUDENTS 3 5 METHODS OF LEARNING IN STATISTICAL EDUCATION: A RANDOMIZED TRIAL OF PUBLIC HEALTH GRADUATE STUDENTS 3 FELICITY BOYD ENDERS, PHD Mayo Clinic, Division of Biosaisics enders.feliciy@mayo.edu MARIE DIENER-WEST,

More information