FREE-RADICAL POLYMERIZATION. I. Basics A. Free-radical polymerization is a type of chain polymerization (like ionic polymerization).

Size: px
Start display at page:

Download "FREE-RADICAL POLYMERIZATION. I. Basics A. Free-radical polymerization is a type of chain polymerization (like ionic polymerization)."

Transcription

1 FREE-RADIAL PLYMERIZATIN I. Bascs A. Free-radcal olymerzao s a ye of cha olymerzao (lke oc olymerzao). B. Free radcal moomer aacks double bod of aoher moomer o form bod ad roagae he free radcal.. Mos vyl moomers are ameable o free-radcal olymerzao. II. Kecs A. Iao. Decomoso s frs-order aor. I R. Iaors are characerzed by T d ad ½ a. T d decomoso emeraure. Temeraure where decomoso of aor udergoes auoaccelerao.. Thermal eergy released from decomoso a aor molecule ads decomoso aoher aor molecule. b. ½ - half-lfe. Tme eeded for al amou of aor o decrease cocerao half-lfe.. Relaed o decomoso rae cosa. Very emeraure sesve ν d =kd I ν =k I 3. Iao s frs-order moomer ad aor radcal. d d M R M [ ] ν = k R M

2 4. Iaor effcecy f a. No all aor radcals ae olymerzao b. Possble faes of aor radcal afer decomoso. Recombao solve cage. Recombao ousde of solve cage. ombao of aor radcal wh olymer cha radcal v. Reaco wh aor (R I I R ) v. ydroge absraco from cha v. Reaco (hydroge absraco, ossbly) wh solve v. ha ao c. Effcecy s rao of umber of chas sared o oal umber of aor radcals d. Iaor effceces rage from. o.8 5. Iaors a. Peroxdes. Bezoyl eroxde (T d = 3 ) [T d s he self-acceleraed decomoso emeraure s he emeraure where he rae of ehaly geeraed from he decomoso of he eroxde serves o rovde suffce eergy for furher decomoso.]. Daceyl eroxde (T d = 35 ) 3 3

3 3. D -buyleroxde (T d = 8 ) v. umyl eroxde (T d = 5 ) 3 3 b. Azo comouds., -azobssobuylrle (AIBN) (T d = 5 ) N N N N N N Pheylazorheylmehae (T d = 4 ) The rheylmehylradcal s very sable. N N N

4 4 c. Redox aors. Persulfae S 8 - S 3 - S 4 - S 4 - S 3 -. Fe w/eroxde a.) Fe acs as a caalys o lower acvao eergy ad he decomoso emeraure. Fe - Fe 3 d. Phooaors (for room emeraure olymerzaos). Sulfde R S S R R S. Bezo λ = 36 Å. Bezl v. Bezoheoe

5 5 B. Proagao. Assumos abou roagao a. Proagao s deede of cha legh (cha legh s large) b. No cha rasfer (o be cosdered laer) c. ly oe free radcal er cha d. Seady sae aroxmao. ocerao of radcal cosa hroughou reaco. Iao rae equals ermao rae. Frs-order radcal ad moomer. M M M 3. ead-o-al or head-o-head roagao ossble, hough exclusve head-o-head ad al-o-al roagao s rare. 4. Ihbors a. Necessary for sorage of mos vyl moomers b. Uwaed radcal reacs wh hbor c. Ihbor radcal does o reac wh moomer d. Rearders are radcals ha have slower reaco rae wh moomer. e. Examles. robezee, rrobezee.,5-d -buyl--cresol [ ] ν = k M M

6 6. Termao. ombao (coulg) M M M M c c [ M ] ν = k. Dsrooroao R R R R [ M ] ν = k 3. Some olymerzaos refer combao (olysyree) whle ohers refer dsrooroao (PMMA). Termao referece of dffere olymers a 6. Dsrooroao ombao Polyvyl cyade % % Polysyree 3% 77% Polymehylmehacrylae 79% % Polyvylaceae % % 4. The oal rae of ermao s he sum of he combao ad he dsrooroao rae. k = k c k D. Degree of Polymerzao. Rae of roagao s frs-order moomer ad radcal. [ ] ν = k M M. Aly he seady sae aroxmao o fd he cocerao of cha radcal. [ ] f effcecy of aor decomoso [ ] dm k R M = k[ R][ M] k = = k dr [ ] kfi d = kdf [ I] k[ R][ M] = [ R] = k [ M] k[ R][ M] kkdf[ I][ M] kdf[ I] = = = k k k M k

7 7 3. alculae he roagao rae. kf d [ I] ν = k M M = k M = k M I k 4. alculae he ermao rae. kf d [ I] ν = k = k = kdf[] I k 5. alculae he degree of olymerzao (rao of roagao rae o ermao rae). DP d k M I ν k k = = = ν kf d [] I kkf d [ M] [] I E. Measurg he rae of olymerzao (dlaomery). Polymerzao rae s he rae of moomer cosumo. dm ν oly =. The average al rae ca be calculaed as: ν = kf [ M] [ M] oly 3. Drec measureme of he reaco rae (so reaco a dffere mes, measure amou of moomer) s ossble, bu me-cosumg. 4. Measurg a chage a hyscal roery would be much easer. 5. Measurg chage volume as reaco roceeds s dlaomery. a. Volume of reaco mxure s measured va he hegh of a callary ube. b. Toal volume s he volume of moomer, olymer ad solve. V= w v w v w v c. Assume he wegh of he olymer s cosumed moomer. V w mv wsvs w = wm wm wm = v v d. A me zero, volume s from moomer ad solve. e. Assume a fe me, volume s from olymer ad solve. Noe: w = wm V = w v w v m m s s V = w v w v m m s s m s s m

8 8 f. Subrac V - V. V V = w v w v w v w v = w v w v = w v v g. Yeld of reaco (Y) ca be wre erms of moomer wegh ad coseque volume (or hegh) dlaomeer. wm wm V V Δh() Y = = = wm V V Δh( ) h. Thus rae s [ M] Δh( ) [ M] ν oly = Y = Δh F. Average degree of olymerzao ad umber-average molecular wegh. The rae of olymer formao deeds o coug he olymer from dsrooroao ad combao correcly. η s he kec cha legh. The rae of olymer formao deeds o coug he olymer from dsrooroao ad combao correcly. a. If combao domaes,.e., k c >> k b. If dsrooroao domaes,.e., k >> k c m m s s m s s m m m m m w m ( m s s) V w v w v V w v w v V V = = = v v V V w V V m s s w m m m dp 3. Number-average molecular wegh deeds o degree of olymerzao. ( k k )[ M ] = c [ ] ( k k ) [ ] ν dm k M M k M DP = = = = ν dp k k M c c [ ] ν k M M k M η= = = ν k k k k ηk ηk [ ] η ( ) M k k DP = = = = k k M k k k k k k k c c c c c ( ) η k k η k = = η c c DP kc k kc DP ( ) η k k η k c = =η kc k k M = MDP

9 9 G. Dsrbuo of DP. To cosder he dsrbuo of olymer cha leghs, we mus beg makg a dsco bewee dffere olymer cha leghs. Thus he rae of formao of olymer cha wh us s dm = k[ M][ M ] k[ M][ M] k[ M] =. The rao of olymer wh us o - us s [ M ] k[ M] k[ M] k = = = [ M ] k[ M] k k[ M] k[ M ] k[ M] k[ M] 3. Recallg he defo of he kec cha legh, η=ν ν = k [ M] k [ M ] [ ] [ M ] M = η 4. Mullyg successve - raos ogeher yelds [ ] [ ] [ ] 5. The fraco of roagag radcals ha have a degree of olymerzao s 6. A alerave aroach volves cosderao of he seady-sae aroxmao. dm [ ] = ν k M = dm [ ] = ν k[ M] k = 7. Subsuo ad rearrageme yelds 8. Thus he fraco of roagag radcals wh DP of s M M M M M 3 M = = M M M M 3 M 4 M η [ ] [ ] M M = = η f [ ] M = η η [ ] M f = = η η ( ) ( )

10 9. Usg he above exresso we wll fd mole fracos of olymer havg DP of. dp [ ] dp [ ] X = = d P d P. To do he summaos, we mus be careful abou he dsco bewee ermao va combao versus ermao va dsrooroao. a. I combao, a smle summao would cou each ermao wce exce for wo radcals ha had / us. M M - P M M - P M 3 M -3 P ec M / M / P b. I dsrooroao, coug argumes (gorg rae cosas) ell us ha a olymer of cha legh s made wce as fas as combao. dp [ ] = k [ M ] c. Thus ogeher he rae of formao of olymer wh cha legh s dp = k c, M M kc,m M m M m k M M Σ m= d. The rae cosa for combao of ulke radcals s wce he rae of combao of decal radcals. (Aga: a smle coug argume.) k c, m = k c, dp [ ] m = kc [ M m ][ Mm ]() k [ M ]. To do he summaos, we mus be careful abou he dsco bewee ermao va combao versus ermao va dsrooroao.. Subsug for he fraco of radcals m= dp = k M M k M M dp k k [ ] M f = = η η c m = () η η m= η η c, c,m m m m= [ m] [ m] () m [ ] = c m= M M dp M M M k k M

11 m 3. The summao yelds () =. m= 4. The mole fraco for each olymer cha legh s 5. Termao s exclusvely combao,.e., k = 6. Termao s exclusvely dsrooroao,.e., k c = dp = kc k M η η η 7. Addoal maulao yelds he wegh fracos k X η k c W = = DP η η k k c. Effec of cha rasfer. The roduco of olymer wh cha legh ca also occur va cha rasfer. M X P X [ ] k kc k [ M ] dp [ ] η η η η k c X = = = dp ( kc k ) η η k k c X = η η X = η η. Thus he exresso for he rae of formao of olymer ad degree of olymerzao gve above mus be modfed. dp dp [ ] = = ( kx[ X] kc k ) k [ M] ( )[ ] DP = k X k k M x c

12 3. For mahemacal coveece, we ll cosder he verse of DP. ( DP) ( k k ) k [ M] k X k k = = k M η k k c x ν c c 4. ha rasfer ca occur wh moomer(m), olymer(p), solve(s), aor(i) or a secfcally added cha rasfer age(y). = k X k M k S k I k P k Y x M S I olymer Y 5. Defe cha rasfer cosas as k = k 6. Thus he verse of he degree of olymerzao ca be wre as a. ( DP) s he verse of DP whou cha rasfer. 7. The fraco of roagag radcals wh DP of s ow wre as R γη f = = γ [ R] η η a. where γ s he cha rasfer erm defed as 8. The mole fraco for each olymer cha legh s I S Y P DP = DP I S Y olymer M M M M ( DP) k [ M] kc k r = M I S Y γ= M S Y M M M γη k k ( ) γη dp [ ] γη η kc kc γη X = = dp k k γ η η γη kc kc γη

13 3 I. Kecs Summary k M I. Proagao rae: ν =. Termao rae: ν = kf[ I] 3. Number-average molecular wegh k [ M] f M = M k k f I d f comb fraco of combao (versus dsrooroao) 4. The frs cha aed radly forms a hgh molecular wegh cha. 5. Moomer cocerao seadly decreases ( coras o se olymerzao). 6. k, k, k follow Arrheus behavor 7. Icreasg emeraure creases ao hus decreases molecular wegh. 8. Above a celg emeraure, chas wll deolymerze. Ehales ad eroes of olymerzao a 5 d Δ (kj./mol) ΔS (J./mol) T c (K),3 -buadee Ehylee Isoree Mehyl Mehacrylae Sryee Molecular weghs ca be lmed by vscosy of reaco mx. [] comb.

Chapter 4 Multiple-Degree-of-Freedom (MDOF) Systems. Packing of an instrument

Chapter 4 Multiple-Degree-of-Freedom (MDOF) Systems. Packing of an instrument Chaper 4 Mulple-Degree-of-Freedom (MDOF Sysems Eamples: Pacg of a srume Number of degrees of freedom Number of masses he sysem X Number of possble ypes of moo of each mass Mehods: Newo s Law ad Lagrage

More information

REVISTA INVESTIGACION OPERACIONAL Vol. 25, No. 1, 2004. k n ),

REVISTA INVESTIGACION OPERACIONAL Vol. 25, No. 1, 2004. k n ), REVISTA INVESTIGACION OPERACIONAL Vol 25, No, 24 RECURRENCE AND DIRECT FORMULAS FOR TE AL & LA NUMBERS Eduardo Pza Volo Cero de Ivesgacó e Maemáca Pura y Aplcada (CIMPA), Uversdad de Cosa Rca ABSTRACT

More information

Lecture 13 Time Series: Stationarity, AR(p) & MA(q)

Lecture 13 Time Series: Stationarity, AR(p) & MA(q) RS C - ecure 3 ecure 3 Tme Seres: Saoar AR & MAq Tme Seres: Iroduco I he earl 97 s was dscovered ha smle me seres models erformed beer ha he comlcaed mulvarae he oular 96s macro models FRB-MIT-Pe. See

More information

American Journal of Business Education September 2009 Volume 2, Number 6

American Journal of Business Education September 2009 Volume 2, Number 6 Amerca Joural of Bue Educao Sepember 9 Volume, umber 6 Tme Value Of Moe Ad I Applcao I Corporae Face: A Techcal oe O L Relaohp Bewee Formula Je-Ho Che, Alba Sae Uver, USA ABSTRACT Tme Value of Moe (TVM

More information

6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis

6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis 6.7 Network aalyss Le data that explctly store topologcal formato are called etwork data. Besdes spatal operatos, several methods of spatal aalyss are applcable to etwork data. Fgure: Network data Refereces

More information

Proving the Computer Science Theory P = NP? With the General Term of the Riemann Zeta Function

Proving the Computer Science Theory P = NP? With the General Term of the Riemann Zeta Function Research Joural of Mahemacs ad Sascs 3(2): 72-76, 20 ISSN: 2040-7505 Maxwell Scefc Orgazao, 20 Receved: Jauary 08, 20 Acceped: February 03, 20 Publshed: May 25, 20 Provg he ompuer Scece Theory P NP? Wh

More information

METHODOLOGY ELECTRICITY, GAS AND WATER DISTRIBUTION INDEX (IDEGA, by its Spanish acronym) (Preliminary version)

METHODOLOGY ELECTRICITY, GAS AND WATER DISTRIBUTION INDEX (IDEGA, by its Spanish acronym) (Preliminary version) MEHODOLOGY ELEY, GAS AND WAE DSBUON NDEX (DEGA, by s Sash acroym) (Prelmary verso) EHNAL SUBDEOAE OPEAONS SUBDEOAE Saago, December 26h, 2007 HDA/GGM/GMA/VM ABLE OF ONENS Pages. roduco 3 2. oceual frameork

More information

GARCH Modelling. Theoretical Survey, Model Implementation and

GARCH Modelling. Theoretical Survey, Model Implementation and Maser Thess GARCH Modellg Theorecal Survey, Model Imlemeao ad Robusess Aalyss Lars Karlsso Absrac I hs hess we survey GARCH modellg wh secal focus o he fg of GARCH models o facal reur seres The robusess

More information

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data ANOVA Notes Page Aalss of Varace for a Oe-Wa Classfcato of Data Cosder a sgle factor or treatmet doe at levels (e, there are,, 3, dfferet varatos o the prescrbed treatmet) Wth a gve treatmet level there

More information

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ  1 STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS Recall Assumpto E(Y x) η 0 + η x (lear codtoal mea fucto) Data (x, y ), (x 2, y 2 ),, (x, y ) Least squares estmator ˆ E (Y x) ˆ " 0 + ˆ " x, where ˆ

More information

Selected Financial Formulae. Basic Time Value Formulae PV A FV A. FV Ad

Selected Financial Formulae. Basic Time Value Formulae PV A FV A. FV Ad Basc Tme Value e Fuure Value of a Sngle Sum PV( + Presen Value of a Sngle Sum PV ------------------ ( + Solve for for a Sngle Sum ln ------ PV -------------------- ln( + Solve for for a Sngle Sum ------

More information

Claims Reserving When There Are Negative Values in the Runoff Triangle

Claims Reserving When There Are Negative Values in the Runoff Triangle Clams Reservg Whe There Are Negave Values he Ruo Tragle Erque de Alba ITAM Meco ad Uversy o Waerloo Caada 7 h. Acuaral Research Coerece The Uversy o Waerloo Augus 7-0 00 . INTRODUCTION The may uceraes

More information

THE PRESSURE DERIVATIVE

THE PRESSURE DERIVATIVE Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics THE PRESSURE DERIVATIVE The ressure derivaive has imoran diagnosic roeries. I is also imoran for making ye curve analysis more reliable.

More information

Vladimir PAPI], Jovan POPOVI] 1. INTRODUCTION

Vladimir PAPI], Jovan POPOVI] 1. INTRODUCTION Yugoslav Joural of Operaos Research 200 umber 77-9 VEHICLE FLEET MAAGEMET: A BAYESIA APPROACH Vladmr PAPI] Jova POPOVI] Faculy of Traspor ad Traffc Egeerg Uversy of Belgrade Belgrade Yugoslava Absrac:

More information

Numerical Solution of the Incompressible Navier-Stokes Equations

Numerical Solution of the Incompressible Navier-Stokes Equations Nmercl Solo of he comressble Ner-Sokes qos The comressble Ner-Sokes eqos descrbe wde rge of roblems fld mechcs. The re comosed of eqo mss cosero d wo momem cosero eqos oe for ech Cres eloc comoe. The deede

More information

Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1

Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1 Page Chemical Kieics Chaper O decomposiio i a isec O decomposiio caalyzed by MO Chemical Kieics I is o eough o udersad he soichiomery ad hermodyamics of a reacio; we also mus udersad he facors ha gover

More information

Classic Problems at a Glance using the TVM Solver

Classic Problems at a Glance using the TVM Solver C H A P T E R 2 Classc Problems at a Glace usg the TVM Solver The table below llustrates the most commo types of classc face problems. The formulas are gve for each calculato. A bref troducto to usg the

More information

Critical Approach of the Valuation Methods of a Life Insurance Company under the Traditional European Statutory View

Critical Approach of the Valuation Methods of a Life Insurance Company under the Traditional European Statutory View Crcal Aroach of he Valuao Mehods of a Lfe Isurace Comay uder he radoal Euroea Sauory Vew Dr. Paul-Aoe Darbellay ParerRe Belleresrasse 36 C-8034 Zürch Swzerlad Phoe: 4 385 34 63 Fa: 4 385 37 04 E-mal: aulaoe.darbellay@arerre.com

More information

Valuation Methods of a Life Insurance Company

Valuation Methods of a Life Insurance Company Valuao Mehods of a Lfe Isurace Comay ISORY...3 2 PRODUC ASSESSMEN : PROFI ESING...4 2. E PROFI ESING IN 3 SEPS...5 2.. Equalece Prcle...5 2..2 radoal Marg...6 2..3 Prof esg...6 2.2 COMMON CRIERIA O EVALUAE

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

EQUITY VALUATION USING DCF: A THEORETICAL ANALYSIS OF THE LONG TERM HYPOTHESES

EQUITY VALUATION USING DCF: A THEORETICAL ANALYSIS OF THE LONG TERM HYPOTHESES Ivesme Maaeme ad Facal Iovaos Volume 4 Issue 007 9 EQUIY VALUAION USING DCF: A HEOREICAL ANALYSIS OF HE LONG ERM HYPOHESES Luco Cassa * Adrea Pla ** Slvo Vsmara *** Absrac hs paper maches he sesvy aalyss

More information

2. Illustration of the Nikkei 225 option data

2. Illustration of the Nikkei 225 option data 1. Introduction 2. Illustration of the Nikkei 225 option data 2.1 A brief outline of the Nikkei 225 options market τ 2.2 Estimation of the theoretical price τ = + ε ε = = + ε + = + + + = + ε + ε + ε =

More information

RUSSIAN ROULETTE AND PARTICLE SPLITTING

RUSSIAN ROULETTE AND PARTICLE SPLITTING RUSSAN ROULETTE AND PARTCLE SPLTTNG M. Ragheb 3/7/203 NTRODUCTON To stuatos are ecoutered partcle trasport smulatos:. a multplyg medum, a partcle such as a eutro a cosmc ray partcle or a photo may geerate

More information

Standardized Formula Sheet: Formulas Standard Normal Distribution Table Summary of Financial Ratios

Standardized Formula Sheet: Formulas Standard Normal Distribution Table Summary of Financial Ratios Sadardzed Formula See: Formulas Sadard ormal Dsrbuo Table Summary o Facal Raos Formulas. Prese Value o a Sgle Cas Flow CF PV (. Fuure Value o a Sgle Cas Flow FV CF( 3. Prese Value o a Ordary Auy ( PV PT[

More information

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING Q.1 Defie a lease. How does i differ from a hire purchase ad isalme sale? Wha are he cash flow cosequeces of a lease? Illusrae.

More information

7.2 Analysis of Three Dimensional Stress and Strain

7.2 Analysis of Three Dimensional Stress and Strain eco 7. 7. Aalyss of Three Dmesoal ress ad ra The cocep of raco ad sress was roduced ad dscussed Par I.-.5. For he mos par he dscusso was cofed o wo-dmesoal saes of sress. Here he fully hree dmesoal sress

More information

Analysis of Coalition Formation and Cooperation Strategies in Mobile Ad hoc Networks

Analysis of Coalition Formation and Cooperation Strategies in Mobile Ad hoc Networks Aalss of oalo Formao ad ooperao Sraeges Moble Ad hoc ewors Pero Mchard ad Ref Molva Isu Eurecom 9 Roue des rêes 06904 Sopha-Apols, Frace Absrac. Ths paper focuses o he formal assessme of he properes of

More information

Trust Evaluation and Dynamic Routing Decision Based on Fuzzy Theory for MANETs

Trust Evaluation and Dynamic Routing Decision Based on Fuzzy Theory for MANETs JOURNAL OF SOFTWARE, VOL. 4, NO. 10, ECEBER 2009 1091 Trus Evaluao ad yamc Roug ecso Based o Fuzzy Theory for ANETs Hogu a, Zhpg Ja ad Zhwe Q School of Compuer Scece ad Techology, Shadog Uversy, Ja, Cha.P.R.

More information

Diagnostic Examination

Diagnostic Examination Diagnosic Examinaion TOPIC XV: ENGINEERING ECONOMICS TIME LIMIT: 45 MINUTES 1. Approximaely how many years will i ake o double an invesmen a a 6% effecive annual rae? (A) 10 yr (B) 12 yr (C) 15 yr (D)

More information

Preprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time.

Preprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time. Computatoal Geometry Chapter 6 Pot Locato 1 Problem Defto Preprocess a plaar map S. Gve a query pot p, report the face of S cotag p. S Goal: O()-sze data structure that eables O(log ) query tme. C p E

More information

Three Dimensional Interpolation of Video Signals

Three Dimensional Interpolation of Video Signals Three Dmesoal Iterpolato of Vdeo Sgals Elham Shahfard March 0 th 006 Outle A Bref reve of prevous tals Dgtal Iterpolato Bascs Upsamplg D Flter Desg Issues Ifte Impulse Respose Fte Impulse Respose Desged

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

PORTFOLIO CHOICE WITH HEAVY TAILED DISTRIBUTIONS 1. Svetlozar Rachev 2 Isabella Huber 3 Sergio Ortobelli 4

PORTFOLIO CHOICE WITH HEAVY TAILED DISTRIBUTIONS 1. Svetlozar Rachev 2 Isabella Huber 3 Sergio Ortobelli 4 PORTFOLIO CHOIC WITH HAVY TAILD DISTRIBUTIONS Sveloar Rachev Isabella Huber 3 Sergo Orobell 4 We are graeful o Boryaa Racheva-Joova Soya Soyaov ad Almra Bglova for he comuaoal aalyss ad helful commes.

More information

Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field

Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field ecure 4 nducon evew nducors Self-nducon crcus nergy sored n a Magnec Feld 1 evew nducon end nergy Transfers mf Bv Mechancal energy ransform n elecrc and hen n hermal energy P Fv B v evew eformulaon of

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

Mechanical Vibrations Chapter 4

Mechanical Vibrations Chapter 4 Mechaical Vibraios Chaper 4 Peer Aviabile Mechaical Egieerig Deparme Uiversiy of Massachuses Lowell 22.457 Mechaical Vibraios - Chaper 4 1 Dr. Peer Aviabile Modal Aalysis & Corols Laboraory Impulse Exciaio

More information

CHAPTER 2. Time Value of Money 6-1

CHAPTER 2. Time Value of Money 6-1 CHAPTER 2 Tme Value of Moey 6- Tme Value of Moey (TVM) Tme Les Future value & Preset value Rates of retur Autes & Perpetutes Ueve cash Flow Streams Amortzato 6-2 Tme les 0 2 3 % CF 0 CF CF 2 CF 3 Show

More information

The Unintended Consequences of Tort Reform: Rent Seeking in New York State s Structured Settlements Statutes

The Unintended Consequences of Tort Reform: Rent Seeking in New York State s Structured Settlements Statutes The Ueded Cosequeces of Tor Reform: Re Seeg ew Yor Sae s Srucured Selemes Saues Publshed Joural of Foresc Ecoomcs, Volume 3 o, Wer 2 By Lawrece M. Spzma* Professor of Ecoomcs Mahar Hall Sae Uversy of ew

More information

EXAMPLE 1... 1 EXAMPLE 2... 14 EXAMPLE 3... 18 EXAMPLE 4 UNIVERSAL TRADITIONAL APPROACH... 24 EXAMPLE 5 FLEXIBLE PRODUCT... 26

EXAMPLE 1... 1 EXAMPLE 2... 14 EXAMPLE 3... 18 EXAMPLE 4 UNIVERSAL TRADITIONAL APPROACH... 24 EXAMPLE 5 FLEXIBLE PRODUCT... 26 EXAMLE... A. Edowme... B. ure edowme d Term surce... 4 C. Reseres... 8. Bruo premum d reseres... EXAMLE 2... 4 A. Whoe fe... 4 B. Reseres of Whoe fe... 6 C. Bruo Whoe fe... 7 EXAMLE 3... 8 A.ure edowme...

More information

FEBRUARY 2015 STOXX CALCULATION GUIDE

FEBRUARY 2015 STOXX CALCULATION GUIDE FEBRUARY 2015 STOXX CALCULATION GUIDE STOXX CALCULATION GUIDE CONTENTS 2/23 6.2. INDICES IN EUR, USD AND OTHER CURRENCIES 10 1. INTRODUCTION TO THE STOXX INDEX GUIDES 3 2. CHANGES TO THE GUIDE BOOK 4 2.1.

More information

ASCII CODES WITH GREEK CHARACTERS

ASCII CODES WITH GREEK CHARACTERS ASCII CODES WITH GREEK CHARACTERS Dec Hex Char Description 0 0 NUL (Null) 1 1 SOH (Start of Header) 2 2 STX (Start of Text) 3 3 ETX (End of Text) 4 4 EOT (End of Transmission) 5 5 ENQ (Enquiry) 6 6 ACK

More information

Professional Liability Insurance Contracts: Claims Made Versus Occurrence Policies

Professional Liability Insurance Contracts: Claims Made Versus Occurrence Policies ARICLES ACADÉMIQUES ACADEMIC ARICLES Assuraces e geso des rsques, vol. 79(3-4), ocobre 2011- javer 2012, 251-277 Isurace ad Rsk Maageme, vol. 79(3-4), Ocober 2011- Jauary 2012, 251-277 Professoal Lably

More information

Object Tracking Based on Online Classification Boosted by Discriminative Features

Object Tracking Based on Online Classification Boosted by Discriminative Features Ieraoal Joural of Eergy, Iformao ad Commucaos, pp.9-20 hp://dx.do.org/10.14257/jec.2013.4.6.02 Objec Trackg Based o Ole Classfcao Boosed by Dscrmave Feaures Yehog Che 1 ad Pl Seog Park 2 1 Qlu Uversy of

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

Sequences and Series

Sequences and Series Secto 9. Sequeces d Seres You c thk of sequece s fucto whose dom s the set of postve tegers. f ( ), f (), f (),... f ( ),... Defto of Sequece A fte sequece s fucto whose dom s the set of postve tegers.

More information

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics PRESSURE BUILDUP I is difficul o kee he rae consan in a roducing well. This is no an issue in a buildu es since he well is closed.

More information

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations. Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given

More information

Generalized Difference Sequence Space On Seminormed Space By Orlicz Function

Generalized Difference Sequence Space On Seminormed Space By Orlicz Function Ieaoa Joa of Scece ad Eee Reeach IJSER Vo Ie Decembe -4 5687 568X Geeazed Dffeece Seece Sace O Semomed Sace B Ocz Fco A.Sahaaa Aa ofeo G Ie of TechooCombaoeIda. Abac I h aewe defe he eece ace o emomed

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

Chapter 2 Kinematics in One Dimension

Chapter 2 Kinematics in One Dimension Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how

More information

Why we use compounding and discounting approaches

Why we use compounding and discounting approaches Comoudig, Discouig, ad ubiased Growh Raes Near Deb s school i Souher Colorado. A examle of slow growh. Coyrigh 000-04, Gary R. Evas. May be used for o-rofi isrucioal uroses oly wihou ermissio of he auhor.

More information

Approximate hedging for non linear transaction costs on the volume of traded assets

Approximate hedging for non linear transaction costs on the volume of traded assets Noame mauscrp No. wll be sered by he edor Approxmae hedgg for o lear rasaco coss o he volume of raded asses Romuald Ele, Emmauel Lépee Absrac Ths paper s dedcaed o he replcao of a covex coge clam hs a

More information

The Economics of Administering Import Quotas with Licenses-on-Demand

The Economics of Administering Import Quotas with Licenses-on-Demand The Ecoomcs of Admserg Impor uoas wh Lceses-o-Demad Jaa Hraaova, James Falk ad Harry de Gorer Prepared for he World Bak s Agrculural Trade Group Jauary 2003 Absrac Ths paper exames he effecs of raog mpor

More information

Final Exam Review. I normalize your final exam score out of 70 to a score out of 150. This score out of 150 is included in your final course total.

Final Exam Review. I normalize your final exam score out of 70 to a score out of 150. This score out of 150 is included in your final course total. Final Exam Review Information Your ACS standardized final exam is a comprehensive, 70 question multiple choice (a d) test featuring material from BOTH the CHM 101 and 102 syllabi. Questions are graded

More information

Pricing Interest Rate and currency Swaps. Up-front fee. Valuation (MTM)

Pricing Interest Rate and currency Swaps. Up-front fee. Valuation (MTM) Pricing Ineres Rae an currency Swas. U-ron ee. Valuaion (MM) A lain vanilla swa ricing is he rocess o seing he ixe rae, so ha he iniial value o he swa is zero or boh couneraries. hereaer i is osiive or

More information

Models of migration. Frans Willekens. Colorado Conference on the Estimation of Migration 24 26 September 2004

Models of migration. Frans Willekens. Colorado Conference on the Estimation of Migration 24 26 September 2004 Models of mgrato Fras Wllekes Colorado Coferece o the Estmato of Mgrato 4 6 Setember 004 Itroducto Mgrato : chage of resdece (relocato Mgrato s stuated tme ad sace Cocetual ssues Sace: admstratve boudares

More information

The Term Structure of Interest Rates

The Term Structure of Interest Rates The Term Srucure of Ieres Raes Wha is i? The relaioship amog ieres raes over differe imehorizos, as viewed from oday, = 0. A cocep closely relaed o his: The Yield Curve Plos he effecive aual yield agais

More information

Lecture 7. Norms and Condition Numbers

Lecture 7. Norms and Condition Numbers Lecture 7 Norms ad Codto Numbers To dscuss the errors umerca probems vovg vectors, t s usefu to empo orms. Vector Norm O a vector space V, a orm s a fucto from V to the set of o-egatve reas that obes three

More information

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are :

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are : Bullets bods Let s descrbe frst a fxed rate bod wthout amortzg a more geeral way : Let s ote : C the aual fxed rate t s a percetage N the otoal freq ( 2 4 ) the umber of coupo per year R the redempto of

More information

APPLICATIONS OF GEOMETRIC

APPLICATIONS OF GEOMETRIC APPLICATIONS OF GEOMETRIC SEQUENCES AND SERIES TO FINANCIAL MATHS The mos powerful force i he world is compoud ieres (Alber Eisei) Page of 52 Fiacial Mahs Coes Loas ad ivesmes - erms ad examples... 3 Derivaio

More information

The effect on the Asian option price times between the averaging. Mark Ioffe

The effect on the Asian option price times between the averaging. Mark Ioffe 866 U Naos Plaza u 566 Nw Yok NY 7 Pho: 3 355 Fa: 4 668 fo@gach.co www.gach.co h ffc o h sa opo pc s bw h avagg Mak Ioff bsac h acl s o h calculao of h pc of sa opo. I pacula w aalz h ffc o h opo pc s

More information

A GLOSSARY OF MAIN TERMS

A GLOSSARY OF MAIN TERMS he aedix o his glossary gives he mai aggregae umber formulae used for cosumer rice (CI) uroses ad also exlais he ierrelaioshis bewee hem. Acquisiios aroach Addiiviy Aggregae Aggregaio Axiomaic, or es aroach

More information

How To Value An Annuity

How To Value An Annuity Future Value of a Auty After payg all your blls, you have $200 left each payday (at the ed of each moth) that you wll put to savgs order to save up a dow paymet for a house. If you vest ths moey at 5%

More information

Performance Comparisons of Load Balancing Algorithms for I/O- Intensive Workloads on Clusters

Performance Comparisons of Load Balancing Algorithms for I/O- Intensive Workloads on Clusters Joural of ewor ad Compuer Applcaos, vol. 3, o., pp. 32-46, Jauary 2008. Performace Comparsos of oad Balacg Algorhms for I/O- Iesve Worloads o Clusers Xao Q Deparme of Compuer Scece ad Sofware Egeerg Aubur

More information

CONVERGENCE AND SPATIAL PATTERNS IN LABOR PRODUCTIVITY: NONPARAMETRIC ESTIMATIONS FOR TURKEY 1

CONVERGENCE AND SPATIAL PATTERNS IN LABOR PRODUCTIVITY: NONPARAMETRIC ESTIMATIONS FOR TURKEY 1 CONVERGENCE AND SPAIAL PAERNS IN LABOR PRODUCIVIY: NONPARAMERIC ESIMAIONS FOR URKEY ugrul emel, Ays asel & Peer J. Alberse Workg Paper 993 Forhcomg he Joural of Regoal Aalyss ad Polcy, 999. We would lke

More information

Transient Analysis of First Order RC and RL circuits

Transient Analysis of First Order RC and RL circuits Transien Analysis of Firs Order and iruis The irui shown on Figure 1 wih he swih open is haraerized by a pariular operaing ondiion. Sine he swih is open, no urren flows in he irui (i=0) and v=0. The volage

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

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 Eight. f : R R

Chapter Eight. f : R R Chapter Eght f : R R 8. Itroducto We shall ow tur our atteto to the very mportat specal case of fuctos that are real, or scalar, valued. These are sometmes called scalar felds. I the very, but mportat,

More information

MORE ON TVM, "SIX FUNCTIONS OF A DOLLAR", FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi

MORE ON TVM, SIX FUNCTIONS OF A DOLLAR, FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi MORE ON VM, "SIX FUNCIONS OF A DOLLAR", FINANCIAL MECHANICS Copyrgh 2004, S. Malpezz I wan everyone o be very clear on boh he "rees" (our basc fnancal funcons) and he "fores" (he dea of he cash flow model).

More information

Harmony search algorithms for inventory management problems

Harmony search algorithms for inventory management problems Afrca Joural of Busess Maageme Vol.6 (36), pp. 9864-9873, 2 Sepember, 202 Avalable ole a hp://www.academcourals.org/ajbm DOI: 0.5897/AJBM2.54 ISSN 993-8233 202 Academc Jourals Revew Harmoy search algorhms

More information

PHYSICS 161 EXAM III: Thursday December 04, 2003 11:00 a.m.

PHYSICS 161 EXAM III: Thursday December 04, 2003 11:00 a.m. PHYS 6: Eam III Fall 003 PHYSICS 6 EXAM III: Thusda Decembe 04, 003 :00 a.m. Po. N. S. Chan. Please pn ou name and ene ou sea numbe o den ou and ou eamnaon. Suden s Pned Name: Recaon Secon Numbe: Sea Numbe:.

More information

Traditional Smoothing Techniques

Traditional Smoothing Techniques Tradoal Smoohg Techques Smple Movg Average: or Ceered Movg Average, assume s odd: 2 ( 2 ( Weghed Movg Average: W W (or, of course, you could se up he W so ha hey smply add o oe. Noe Lear Movg Averages

More information

CALCULATION OF OMX TALLINN

CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN 1. OMX Tallinn index...3 2. Terms in use...3 3. Comuaion rules of OMX Tallinn...3 3.1. Oening, real-ime and closing value of he Index...3 3.2. Index

More information

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0 Chapter 2 Autes ad loas A auty s a sequece of paymets wth fxed frequecy. The term auty orgally referred to aual paymets (hece the ame), but t s ow also used for paymets wth ay frequecy. Autes appear may

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

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m Chaper 2 Problems 2.1 During a hard sneeze, your eyes migh shu for 0.5s. If you are driving a car a 90km/h during such a sneeze, how far does he car move during ha ime s = 90km 1000m h 1km 1h 3600s = 25m

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

Longitudinal and Panel Data: Analysis and Applications for the Social Sciences. Edward W. Frees

Longitudinal and Panel Data: Analysis and Applications for the Social Sciences. Edward W. Frees Logudal ad Pael Daa: Aalss ad Applcaos for he Socal Sceces b Edward W. Frees Logudal ad Pael Daa: Aalss ad Applcaos for he Socal Sceces Bref Table of Coes Chaper. Iroduco PART I - LINEAR MODELS Chaper.

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

WHAT ARE OPTION CONTRACTS?

WHAT ARE OPTION CONTRACTS? WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be

More information

Exam FM/2 Interest Theory Formulas

Exam FM/2 Interest Theory Formulas Exm FM/ Iere Theory Formul by (/roprcy Th collboro of formul for he ere heory eco of he SO Exm FM / S Exm. Th uy hee free o-copyrghe ocume for ue g Exm FM/. The uhor of h uy hee ug ome oo h uque o h o

More information

10.569 Synthesis of Polymers Prof. Paula Hammond Lecture 14: Processing Approaches: Emulsion Polymerization Processes

10.569 Synthesis of Polymers Prof. Paula Hammond Lecture 14: Processing Approaches: Emulsion Polymerization Processes 10.569 Synthesis f Plymers Prf. Paula Hammnd Lecture 14: Prcessing Appraches: Emulsin Plymerizatin Prcesses Trmsdrff Effect (r Aut-acceleratin) Aut-acceleratin usually ccurs in radical chain plymerizatins

More information

Polyphase Filters. Section 12.4 Porat 1/39

Polyphase Filters. Section 12.4 Porat 1/39 Polyphase Flters Secto.4 Porat /39 .4 Polyphase Flters Polyphase s a way of dog saplg-rate coverso that leads to very effcet pleetatos. But ore tha that, t leads to very geeral vewpots that are useful

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Determinants of Foreign Direct Investment in Malaysia: What Matters Most?

Determinants of Foreign Direct Investment in Malaysia: What Matters Most? Deermas of Foreg Drec Ivesme Maaysa: Wha Maers Mos? Nursuha Shahrud, Zarah Yusof ad NuruHuda Mohd. Saar Ths paper exames he deermas of foreg drec vesme Maaysa from 970-008. The causay ad dyamc reaoshp

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

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih a ground

More information

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract Preset Value of Autes Uder Radom Rates of Iterest By Abraham Zas Techo I.I.T. Hafa ISRAEL ad Uversty of Hafa, Hafa ISRAEL Abstract Some attempts were made to evaluate the future value (FV) of the expected

More information

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Colloquum Bometrcum 4 ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Zofa Hausz, Joaa Tarasńska Departmet of Appled Mathematcs ad Computer Scece Uversty of Lfe Sceces Lubl Akademcka 3, -95 Lubl

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

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

Markit iboxx USD Liquid Leveraged Loan Index

Markit iboxx USD Liquid Leveraged Loan Index Mark Boxx USD Lqud Leveraged Loa Idex Sepember 20 Mark Boxx USD Leveraged Loa Idex Idex Gude Coe Overvew... 4 Seleco Crera... 5 Idex Icepo/Rebalacg... 5 Elgbly Crera... 5 Loa Type... 5 Mmum facly ze...

More information

Session 4: Descriptive statistics and exporting Stata results

Session 4: Descriptive statistics and exporting Stata results Itrduct t Stata Jrd Muñz (UAB) Sess 4: Descrptve statstcs ad exprtg Stata results I ths sess we are gg t wrk wth descrptve statstcs Stata. Frst, we preset a shrt trduct t the very basc statstcal ctets

More information

MDM 4U PRACTICE EXAMINATION

MDM 4U PRACTICE EXAMINATION MDM 4U RCTICE EXMINTION Ths s a ractce eam. It does ot cover all the materal ths course ad should ot be the oly revew that you do rearato for your fal eam. Your eam may cota questos that do ot aear o ths

More information

On formula to compute primes and the n th prime

On formula to compute primes and the n th prime Joural's Ttle, Vol., 00, o., - O formula to compute prmes ad the th prme Issam Kaddoura Lebaese Iteratoal Uversty Faculty of Arts ad ceces, Lebao Emal: ssam.addoura@lu.edu.lb amh Abdul-Nab Lebaese Iteratoal

More information

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová The process of uderwriig UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Kaaría Sakálová Uderwriig is he process by which a life isurace compay decides which people o accep for isurace ad o wha erms Life

More information

Average Price Ratios

Average Price Ratios Average Prce Ratos Morgstar Methodology Paper August 3, 2005 2005 Morgstar, Ic. All rghts reserved. The formato ths documet s the property of Morgstar, Ic. Reproducto or trascrpto by ay meas, whole or

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