Guidelines for Heat and Moisture Modelling in Constructions Using Mutliphysics FEM Software van Schijndel, A.W.M.

Size: px
Start display at page:

Download "Guidelines for Heat and Moisture Modelling in Constructions Using Mutliphysics FEM Software van Schijndel, A.W.M."

Transcription

1 Gudelnes for Heat and Mosture Modellng n onstructons Usng Mutlhyscs FEM Software van Schjndel, A.W.M. Publshed n: Buldng Physcs Symosum, Leuven, October 2008 Publshed: 01/01/2008 Document Verson Publsher s PDF, also known as Verson of Record (ncludes fnal age, ssue and volume numbers) Please check the document verson of ths ublcaton: A submtted manuscrt s the author's verson of the artcle uon submsson and before eer-revew. There can be mortant dfferences between the submtted verson and the offcal ublshed verson of record. Peole nterested n the research are advsed to contact the author for the fnal verson of the ublcaton, or vst the DOI to the ublsher's webste. The fnal author verson and the galley roof are versons of the ublcaton after eer revew. The fnal ublshed verson features the fnal layout of the aer ncludng the volume, ssue and age numbers. Lnk to ublcaton taton for ublshed verson (APA): Schjndel, van, A. W. M. (2008). Gudelnes for Heat and Mosture Modellng n onstructons Usng Mutlhyscs FEM Software. In Buldng Physcs Symosum, Leuven, October 2008 ( ) General rghts oyrght and moral rghts for the ublcatons made accessble n the ublc ortal are retaned by the authors and/or other coyrght owners and t s a condton of accessng ublcatons that users recognse and abde by the legal requrements assocated wth these rghts. Users may download and rnt one coy of any ublcaton from the ublc ortal for the urose of rvate study or research. You may not further dstrbute the materal or use t for any roft-makng actvty or commercal gan You may freely dstrbute the URL dentfyng the ublcaton n the ublc ortal? Take down olcy If you beleve that ths document breaches coyrght lease contact us rovdng detals, and we wll remove access to the work mmedately and nvestgate your clam. Download date: 24. Nov. 2018

2 Sesson 2.2 Buldng enveloes: modellng gudelnes and test set-us Buldng Physcs Symosum Sesson 2.2 Buldng enveloes: modellng gudelnes and test set-us Gudelnes for Heat and Mosture Modellng n onstructons Usng Multhyscs FEM software J. van Schjndel Endhoven Unversty of Technology, Deartment of Archtecture, Buldng and Plannng, Endhoven, Netherlands Tel : ; Emal: A.W.M.v.Schjndel@bwk.tue.nl eywords: Heat, Mosture, Modelng, Multhyscs, FEM 1. Introducton Multhyscs treats smulatons that nvolve multle hyscal models or multle smultaneous hyscal henomena mostly usng the Fnte Element Method (FEM). The commercally avalable software ackages lke ANSYS Multhyscs, LS-DYNA, OMSOL Multhyscs, and FlexPDE are very romsng for alcaton n the area of buldng hyscs. However, usng these Multhyscs tools for modelng heat and mosture transort n constructons, one mght encounter numercal roblems. Esecally the mult-layered mxed mosture transort (.e. vaour and water) art can be trcky to solve. Amongst other ossbltes, the multhyscs modelng aroach of van Schjndel (2007) s selected. A gudelne on how to mlement u to 3D heat ar and mosture (HAM) transort models usng OMSOL (2008) s already rovded (van Schjndel 2006). Another recent develoment concernng OMSOL s resented n Tarku et al. (2008). Ths work shows a successful mlementaton of 1D HAM transort usng relatve humdty as mosture otental. Ths aer resents two major extensons to work of van Schjndel (2006) and Tarku et al. (2008), descrbed n the followng sectons: Frst, the mlementaton of LPc as mosture otental for ncludng both vaour and lqud transort and second, the mlementaton of materal and boundary functons for calculatng the PDE coeffcents from the materal roertes. The mlementaton of the two new extensons s verfed usng the HAMStad benchmark 1 (Hagentoft et al 2002). 2. Extenson 1: Imlementaton of LPc otental The heat and mosture transort can be descrbed by the followng PDEs usng LPc as otental for T T 11 T 12) mosture transfer. t (1) LPc 21 T 22) t Wth: 10 LPc log( Pc) T LPc c l lv M w Psat, RT w M w Psat, RT Psat, T a a (2) 59

3 Sesson 2.2 Buldng enveloes: modellng gudelnes and test set-us Buldng Physcs Symosum Where t s tme [s]; T s temerature [ o ]; P c s callary ressure [Pa]; s materal densty [kg/m 3 ]; c s secfc heat caacty [J/kg]; s thermal conductvty [W/m]; l lv s secfc latent heat of evaoraton [J/kg]; vaour ermeablty [s]; s relatve humdty [-]; Psat s saturaton ressure [Pa]; M w = [kg/mol]; R = [J/mol]; a s ar densty [kg/m 3 ]; w s mosture content [kg/m 3 ]; s lqud water ermeablty [s]. 3. Extenson 2: Imlementaton of advanced materal and boundary functons The second extenson s the mlementaton of advanced materal and boundary functons usng MatLab. These functons are used to convert measurable materal roertes such as,, and whch are deendent on the mosture content nto PDE coeffcents whch are deendent on the LPc and T. Ths s schematcally shown n fgure 1. Fg 1. The converson from measurable materal roertes nto PDE coeffcents The results for materal B (based on HAMstad benchmark 1) s resented n fgure 2. Fg. 2. PDE coeffcents T, LPc, j as functons of LPc and T calculated from the rovded HAMSTAD benchmark no.1 materal roertes for the nsulaton b materal (lease note that ths fgure reles on colour, see dgtal verson) 60

4 Sesson 2.2 Buldng enveloes: modellng gudelnes and test set-us Buldng Physcs Symosum For each materal and at each ont the vaour ressure can be calculated usng smlar corresondng functons. 4. Verfcaton usng HAMSTad benchmark 1 Benchmarks are mortant tools to verfy comutatonal models. In the research area of buldng hyscs, the so-called HAMSTAD (Heat, Ar and Mosture STAnDardzaton) roject s a very well known reference for the testng of smulaton tools. Ths Secton summarzes the results for the HAMSTAD benchmark no.1: Insulated roof. The roof structure s analyzed n 1D regardng dynamc heat and mosture transort. The thermal nsulaton s facng the nteror and a there s mosture barrer facng the exteror. The structure s erfectly artght. Fgure 3 shows the structure: Fg. 3. A schematc of the structure of the benchmark The governng PDE equatons are gven by (1). Fgure 2 rovdes the PDE coeffcents for the nsulaton materal b (the load bearng materal s smlar). The boundary condtons are at the: ()nternal (connected wth materal a) (e)xternal (connected wth materal b) q h ( T T) l g ) lv ) q he ( Te T) (3) g 0 Where q s heat flux [W/m 2 ]; h s convectve heat transfer coeffcent [W/m 2 ]; s vaour transfer coeffcent [kg/pam 2 s]; s vaour ressure [Pa]; g s mosture flux [kg/m 2 s]; The boundary condtons are hourly based values rovded by benchmark. The results are shown n fgure 4. Fg.4. Left. The smulated total mass n the load bearng materal (to) and nsulaton materal (bottom) durng the frst year. Rght. The smulated heat flows nteror (bottom) and exteror (to) to the wall durng the frst year 61

5 Sesson 2.2 Buldng enveloes: modellng gudelnes and test set-us Buldng Physcs Symosum onfrontng these results wth the benchmark, t s concluded that the results are wthn the rovded bandwdths. Other benchmarks wll be evaluated n near future. Moreover, the benchmark 1 model usng OMSOL (2008) and comanyng reort are ublshed at the HAMLab (2008) research and educaton webste. 5. onclusons It s concluded that the followng two man gudelnes rovde a stable numercal solutons for several benchmarks on heat and mosture transfer and for Multhyscs FEM ackages OMSOL: (1) Use the LPc (the natural logarthmc of the sucton ressure Pc) as mosture otental and (2) Use 2-D nterolaton (table looku) based on LPc and temerature for all PDE coeffcents. The OMSOL model resented n ths aer s ublc doman and s downloadable from the HAMLab (2008) webste. 6. Ongong research Alcaton of system dentfcaton. Ths technque seems romsng n reducng the large smulaton tmes of (lnear aroxmated) models wth large degrees of freedom (DOF) such as 3D HAM models of constructons. Evaluaton of full 3D ndoor clmate and constructons HAM models. Prelmnary results show that t s ossble and relatvely easy to model the nteracton between constructons and ar n omsol. Furthermore, t seems ossble to get relable smulaton results n cases for convectve arflow and forced arflow. However, due to the lmted comuter resources used n ths research, the smulated volumes were small: less than 0.1 m3 and 2 m3 for resectvely the convectve and forced arflow case. Inverse modelng. An nverse roblem s the task that often occurs n many branches of scence and mathematcs where the values of some model arameter(s) must be obtaned from the observed data (Wkeda 2008). The man goal of ths work s to nvestgate whether materal roertes can be obtaned usng an nverse roblem technque. A second goal s to evaluate ths technque for heat and mosture engneerng. Alcaton scale of DNS technques. For full sze buldngs, turbulence models are necessary to solve FD equatons. One of the roblems s that there are a lot of dfferent turbulence models and they all gve more or less dfferent results. Wthout turbulence modelng (.e. Drect Numercal Solvng (DNS) technques), accurate results on turbulent flow can only be obtaned usng very small domans comared to buldngs. For DNS the followng statement seems to be vald: The smaller the turbulence the bgger the doman that can be handled. Another roblem s the grd deendency of the soluton. Ths gves rse to the followng man research queston: At what scale s the DNS technque stll usable n relaton wth ndoor arflow and HAM onstructons? REFERENES [1] OMSOL (2008), htt://en.wkeda.org/wk/omsol [2] Hagentoft, -E. (2002). HAMSTAD Fnal reort: Methodology of HAM-modelng, Reort R-02:8. [3] Gothenburg, Deartment of Buldng Physcs, halmers Unversty of Technology. [4] Hagentoft, -E.; alagasds, A.; Adl-Zarrab, B.; Roels, S.; armelet, J.; Hens, H; Grunewald, J.; Funk, [5] M.; Becker, R.; Shamr, D.; Adan, O.; Brocken, H.; umaran,.; Djebbar, R. (2004). Assessment Method of Numercal Predcton Models for ombned Heat, Ar and Mosture Transfer n Buldng omonents: Benchmarks for One-dmensonal ases. Journal of Thermal Enveloe and Buldng Scence. Vol. 27 (4), [6] HAMLab (2008), htt://sts.bwk.tue.nl/hamlab/ [7] Schjndel A.W.M. van (2006), Heat, Ar and Mosture onstructon modelng usng OMSOL wth MatLab, Modelng gude verson 1.0, Proceedngs of the OMSOL Users onference 2006 Endhoven [8] Schjndel A.W.M. van (2007), Integrated Heat Ar and Mosture Modelng and Smulaton, Bouwstenen 116, ISBN: , Endhoven Unversty of Technology [9] Tarku, F., umaran,.,fazo,p. (2008) Develoment and benchmarkng of a new hygrothermal model, NR-NR Reort NR

COMPARISON OF THE ANALYTICAL AND NUMERICAL SOLUTION OF A ONE-DIMENSIONAL NON-STATIONARY COOLING PROBLEM. László Könözsy 1, Mátyás Benke 2

COMPARISON OF THE ANALYTICAL AND NUMERICAL SOLUTION OF A ONE-DIMENSIONAL NON-STATIONARY COOLING PROBLEM. László Könözsy 1, Mátyás Benke 2 COMPARISON OF THE ANALYTICAL AND NUMERICAL SOLUTION OF A ONE-DIMENSIONAL NON-STATIONARY COOLING PROBLEM László Könözsy 1, Mátyás Benke Ph.D. Student 1, Unversty Student Unversty of Mskolc, Department of

More information

Hedging Greeks for a portfolio of options using linear and quadratic programming

Hedging Greeks for a portfolio of options using linear and quadratic programming MPRA Munch Personal RePEc Archve Hedgng reeks for a of otons usng lnear and quadratc rogrammng Panka Snha and Archt Johar Faculty of Management Studes, Unversty of elh, elh 5. February 200 Onlne at htt://mra.ub.un-muenchen.de/20834/

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

-~~?.~~.!.i.':':'.~.~-~-~~~~':':'.~~~.::.~~~~~~~--~-~-~~.::."!}.~!.~.. ~.~~-~...

-~~?.~~.!.i.':':'.~.~-~-~~~~':':'.~~~.::.~~~~~~~--~-~-~~.::.!}.~!.~.. ~.~~-~... -~~?.~~.!..':':'.~.~-~-~~~~':':'.~~~.::.~~~~~~~--~-~-~~.::."!}.~!.~.. ~.~~-~.... Part 1: Defnng schedules (10 Descrbe the followng terms as used n schedulng projects. 1.1 Crtcal path 1.2 Slack tme or float

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS AC 2008-1635: THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS Kun-jung Hsu, Leader Unversty Amercan Socety for Engneerng Educaton, 2008 Page 13.1217.1 Ttle of the Paper: The Dagrammatc

More information

An introduction to quasi-random numbers

An introduction to quasi-random numbers An ntroducton to quas-random numbers By George Levy, umercal Algorthms Grou Ltd. Introducton Monte-Carlo smulaton and random number generaton are technques that are wdely used n fnancal engneerng as a

More information

Solution of periodic review inventory model with general constrains

Solution of periodic review inventory model with general constrains Soluton of perodc revew nventory model wth general constrans Soluton of perodc revew nventory model wth general constrans Prof Dr J Benkő SZIU Gödöllő Summary Reasons for presence of nventory (stock of

More information

Quiz on Deterministic part of course October 22, 2002

Quiz on Deterministic part of course October 22, 2002 Engneerng ystems Analyss for Desgn Quz on Determnstc part of course October 22, 2002 Ths s a closed book exercse. You may use calculators Grade Tables There are 90 ponts possble for the regular test, or

More information

The Dixit-Stiglitz demand system and monpolistic competition.

The Dixit-Stiglitz demand system and monpolistic competition. The Dxt-Stgltz demand system and monolstc cometton. Economcs students are generally well traned n erfectly comettve markets. Such markets are often thought to be characterzed by well defned utlty functons

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 3 Answers

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 3 Answers ublc Affars 854 enze D. Chnn Fall 07 Socal Scences 748 Unversty of Wsconsn-adson roblem Set 3 Answers Due n Lecture on Wednesday, November st. " Box n" your answers to the algebrac questons.. Fscal polcy

More information

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost Tamkang Journal of Scence and Engneerng, Vol. 9, No 1, pp. 19 23 (2006) 19 Economc Desgn of Short-Run CSP-1 Plan Under Lnear Inspecton Cost Chung-Ho Chen 1 * and Chao-Yu Chou 2 1 Department of Industral

More information

Time Domain Decomposition for European Options in Financial Modelling

Time Domain Decomposition for European Options in Financial Modelling Contemporary Mathematcs Volume 218, 1998 B 0-8218-0988-1-03047-8 Tme Doman Decomposton for European Optons n Fnancal Modellng Dane Crann, Alan J. Daves, Cho-Hong La, and Swee H. Leong 1. Introducton Fnance

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

NEW APPROACH TO THEORY OF SIGMA-DELTA ANALOG-TO-DIGITAL CONVERTERS. Valeriy I. Didenko, Aleksander V. Ivanov, Aleksey V.

NEW APPROACH TO THEORY OF SIGMA-DELTA ANALOG-TO-DIGITAL CONVERTERS. Valeriy I. Didenko, Aleksander V. Ivanov, Aleksey V. NEW APPROACH TO THEORY OF IGMA-DELTA ANALOG-TO-DIGITAL CONVERTER Valery I. Ddenko, Aleksander V. Ivanov, Aleksey V. Teplovodsky Department o Inormaton and Measurng Technques Moscow Power Engneerng Insttute

More information

Performance attribution involves

Performance attribution involves STUART MORGA s an analyst at Wngate Asset Management n Melbourne, Australa. stuart.morgan@wngategrou. com.au Performance Attrbuton of Otons: Defnng Sngle-Stock Oton Exosures and Understandng the Brnson-Fachler

More information

GOAL-ORIENTED ADJUSTMENT MECHANISMS FOR STABILIZATION AND DEVELOPMENT OF TRANSITION ECONOMIES

GOAL-ORIENTED ADJUSTMENT MECHANISMS FOR STABILIZATION AND DEVELOPMENT OF TRANSITION ECONOMIES ISAHP 2001, Berne, Swtzerland, August 2-4, 2001 GOAL-ORIENTED ADJUSTMENT MECHANISMS FOR STABILIZATION AND DEVELOPMENT OF TRANSITION ECONOMIES Vasa Toroyan Head of Deartment of Mathematcal Modelng of Economy

More information

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates Chapter 5 Bonds, Bond Prces and the Determnaton of Interest Rates Problems and Solutons 1. Consder a U.S. Treasury Bll wth 270 days to maturty. If the annual yeld s 3.8 percent, what s the prce? $100 P

More information

Floorplanning Algorithm for multiple clock domains

Floorplanning Algorithm for multiple clock domains Proceedngs of the 4th WSEASIASME Int Conf on System Scence and Smulaton n Engneerng, Tenerfe, San, December 16-18, 005 (156-16 Floorlannng Algorthm for multle domans Changhong Zhao, Jan Chen, Dan Zhou,

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

A REAL OPTIONS DESIGN FOR PRODUCT OUTSOURCING. Mehmet Aktan

A REAL OPTIONS DESIGN FOR PRODUCT OUTSOURCING. Mehmet Aktan Proceedngs of the 2001 Wnter Smulaton Conference B. A. Peters, J. S. Smth, D. J. Mederos, and M. W. Rohrer, eds. A REAL OPTIONS DESIGN FOR PRODUCT OUTSOURCING Harret Black Nembhard Leyuan Sh Department

More information

Privatization and government preference in an international Cournot triopoly

Privatization and government preference in an international Cournot triopoly Fernanda A Ferrera Flávo Ferrera Prvatzaton and government preference n an nternatonal Cournot tropoly FERNANDA A FERREIRA and FLÁVIO FERREIRA Appled Management Research Unt (UNIAG School of Hosptalty

More information

International ejournals

International ejournals Avalable onlne at www.nternatonalejournals.com ISSN 0976 1411 Internatonal ejournals Internatonal ejournal of Mathematcs and Engneerng 7 (010) 86-95 MODELING AND PREDICTING URBAN MALE POPULATION OF BANGLADESH:

More information

MATHEMATICAL INSTITUTE UNIVERSITY OF OXFORD. Computational Mathematics

MATHEMATICAL INSTITUTE UNIVERSITY OF OXFORD. Computational Mathematics MATHEMATICAL INSTITUTE UNIVERSITY OF OXFORD Computatonal Mathematcs Students Gude Hlary Term 2019 by Prof Vdt Nanda and Dr Alberto Pagann Acknowledgments: The course gude s based on prevous versons by

More information

Numerical Optimisation Applied to Monte Carlo Algorithms for Finance. Phillip Luong

Numerical Optimisation Applied to Monte Carlo Algorithms for Finance. Phillip Luong Numercal Optmsaton Appled to Monte Carlo Algorthms for Fnance Phllp Luong Supervsed by Professor Hans De Sterck, Professor Gregore Loeper, and Dr Ivan Guo Monash Unversty Vacaton Research Scholarshps are

More information

Trivial lump sum R5.1

Trivial lump sum R5.1 Trval lump sum R5.1 Optons form Once you have flled n ths form, please return t wth the documents we have requested. You can ether post or emal the form and the documents to us. Premer PO Box 108 BLYTH

More information

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds Fnte Math - Fall 2016 Lecture Notes - 9/19/2016 Secton 3.3 - Future Value of an Annuty; Snkng Funds Snkng Funds. We can turn the annutes pcture around and ask how much we would need to depost nto an account

More information

Using Conditional Heteroskedastic

Using Conditional Heteroskedastic ITRON S FORECASTING BROWN BAG SEMINAR Usng Condtonal Heteroskedastc Varance Models n Load Research Sample Desgn Dr. J. Stuart McMenamn March 6, 2012 Please Remember» Phones are Muted: In order to help

More information

A DUAL EXTERIOR POINT SIMPLEX TYPE ALGORITHM FOR THE MINIMUM COST NETWORK FLOW PROBLEM

A DUAL EXTERIOR POINT SIMPLEX TYPE ALGORITHM FOR THE MINIMUM COST NETWORK FLOW PROBLEM Yugoslav Journal of Operatons Research Vol 19 (2009), Number 1, 157-170 DOI:10.2298/YUJOR0901157G A DUAL EXTERIOR POINT SIMPLEX TYPE ALGORITHM FOR THE MINIMUM COST NETWORK FLOW PROBLEM George GERANIS Konstantnos

More information

A Php 5,000 loan is being repaid in 10 yearly payments. If interest is 8% effective, find the annual payment. 1 ( ) 10) 0.

A Php 5,000 loan is being repaid in 10 yearly payments. If interest is 8% effective, find the annual payment. 1 ( ) 10) 0. Amortzaton If a loan s repad on nstalment (whch s usually n equal amounts); then the loan s sad to be repad by the amortzaton method. Under ths method, each nstalment ncludes the repayment of prncpal and

More information

Fiera Capital s CIA Accounting Discount Rate Curve Implementation Note. Fiera Capital Corporation

Fiera Capital s CIA Accounting Discount Rate Curve Implementation Note. Fiera Capital Corporation Fera aptal s IA Accountng Dscount Rate urve Implementaton Note Fera aptal orporaton November 2016 Ths document s provded for your prvate use and for nformaton purposes only as of the date ndcated heren

More information

Analysis of Variance and Design of Experiments-II

Analysis of Variance and Design of Experiments-II Analyss of Varance and Desgn of Experments-II MODULE VI LECTURE - 4 SPLIT-PLOT AND STRIP-PLOT DESIGNS Dr. Shalabh Department of Mathematcs & Statstcs Indan Insttute of Technology Kanpur An example to motvate

More information

OCR Statistics 1 Working with data. Section 2: Measures of location

OCR Statistics 1 Working with data. Section 2: Measures of location OCR Statstcs 1 Workng wth data Secton 2: Measures of locaton Notes and Examples These notes have sub-sectons on: The medan Estmatng the medan from grouped data The mean Estmatng the mean from grouped data

More information

The economics of climate change

The economics of climate change The Economcs of Clmate Change C 175 The economcs of clmate change C 175 Chrstan Traeger Part 2: Effcency, Publc Goods, Externaltes Suggested background readng for emergng questons: olstad, Charles D. (2000),

More information

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

A New Uniform-based Resource Constrained Total Project Float Measure (U-RCTPF) Roni Levi. Research & Engineering, Haifa, Israel

A New Uniform-based Resource Constrained Total Project Float Measure (U-RCTPF) Roni Levi. Research & Engineering, Haifa, Israel Management Studes, August 2014, Vol. 2, No. 8, 533-540 do: 10.17265/2328-2185/2014.08.005 D DAVID PUBLISHING A New Unform-based Resource Constraned Total Project Float Measure (U-RCTPF) Ron Lev Research

More information

Information Flow and Recovering the. Estimating the Moments of. Normality of Asset Returns

Information Flow and Recovering the. Estimating the Moments of. Normality of Asset Returns Estmatng the Moments of Informaton Flow and Recoverng the Normalty of Asset Returns Ané and Geman (Journal of Fnance, 2000) Revsted Anthony Murphy, Nuffeld College, Oxford Marwan Izzeldn, Unversty of Lecester

More information

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson

More information

Dynamic Spectrum Access Algorithm Based on Cournot Game Theory in Cognitive Radio Networks

Dynamic Spectrum Access Algorithm Based on Cournot Game Theory in Cognitive Radio Networks LIHUI CHEG et al: DYAMIC SPECTRUM ACCESS ALGORITHM BASEDO COUROT GAME THEORYI Dynamc Sectrum Access Algorthm Based on Cournot Game Theory n Cogntve Rado etworks Lnhu CHEG* 1,, Luo ZHOG 1, Yongl SU 1. College

More information

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) Proceedngs of the 2nd Internatonal Conference On Systems Engneerng and Modelng (ICSEM-13) Research on the Proft Dstrbuton of Logstcs Company Strategc Allance Based on Shapley Value Huang Youfang 1, a,

More information

An inductive proof for a closed form formula in truncated inverse sampling

An inductive proof for a closed form formula in truncated inverse sampling Journal of Proagatons n Probablty and Statstcs Vol. No. August Internatonal ed.. 7- An nductve roof for a closed for forula n truncated nverse salng Kuang-Chao Chang Fu Jen Catholc Unversty Abstract Inverse

More information

PRICING OF AVERAGE STRIKE ASIAN CALL OPTION USING NUMERICAL PDE METHODS. IIT Guwahati Guwahati, , Assam, INDIA

PRICING OF AVERAGE STRIKE ASIAN CALL OPTION USING NUMERICAL PDE METHODS. IIT Guwahati Guwahati, , Assam, INDIA Internatonal Journal of Pure and Appled Mathematcs Volume 76 No. 5 2012, 709-725 ISSN: 1311-8080 (prnted verson) url: http://www.jpam.eu PA jpam.eu PRICING OF AVERAGE STRIKE ASIAN CALL OPTION USING NUMERICAL

More information

Physics 4A. Error Analysis or Experimental Uncertainty. Error

Physics 4A. Error Analysis or Experimental Uncertainty. Error Physcs 4A Error Analyss or Expermental Uncertanty Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 0 Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 20 Slde 2 Error n

More information

Topics on the Border of Economics and Computation November 6, Lecture 2

Topics on the Border of Economics and Computation November 6, Lecture 2 Topcs on the Border of Economcs and Computaton November 6, 2005 Lecturer: Noam Nsan Lecture 2 Scrbe: Arel Procacca 1 Introducton Last week we dscussed the bascs of zero-sum games n strategc form. We characterzed

More information

Trivial lump sum R5.0

Trivial lump sum R5.0 Optons form Once you have flled n ths form, please return t wth your orgnal brth certfcate to: Premer PO Box 108 BLYTH NE24 9DY Fll n ths form usng BLOCK CAPITALS and black nk. Mark all answers wth an

More information

Comparison of Singular Spectrum Analysis and ARIMA

Comparison of Singular Spectrum Analysis and ARIMA Int. Statstcal Inst.: Proc. 58th World Statstcal Congress, 0, Dubln (Sesson CPS009) p.99 Comparson of Sngular Spectrum Analss and ARIMA Models Zokae, Mohammad Shahd Behesht Unverst, Department of Statstcs

More information

Job Submission in the Cloud: Energy Aware Approaches

Job Submission in the Cloud: Energy Aware Approaches Proceedngs of the World Congress on Engneerng and Computer Scence 2016 Vol I, October 19-21, 2016, San Francsco, USA Job Submsson n the Cloud: Energy Aware Approaches Auday Al-Dulamy, Rached Zantout, Wassm

More information

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x Whch of the followng provdes the most reasonable approxmaton to the least squares regresson lne? (a) y=50+10x (b) Y=50+x (c) Y=10+50x (d) Y=1+50x (e) Y=10+x In smple lnear regresson the model that s begn

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Global sensitivity analysis of credit risk portfolios

Global sensitivity analysis of credit risk portfolios Global senstvty analyss of credt rsk portfolos D. Baur, J. Carbon & F. Campolongo European Commsson, Jont Research Centre, Italy Abstract Ths paper proposes the use of global senstvty analyss to evaluate

More information

A Utilitarian Approach of the Rawls s Difference Principle

A Utilitarian Approach of the Rawls s Difference Principle 1 A Utltaran Approach of the Rawls s Dfference Prncple Hyeok Yong Kwon a,1, Hang Keun Ryu b,2 a Department of Poltcal Scence, Korea Unversty, Seoul, Korea, 136-701 b Department of Economcs, Chung Ang Unversty,

More information

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition Journal of Artfcal Intellgence Practce (206) : 8-3 Clausus Scentfc Press, Canada New Dstance Measures on Dual Hestant Fuzzy Sets and Ther Applcaton n Pattern Recognton L Xn a, Zhang Xaohong* b College

More information

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect Transport and Road Safety (TARS) Research Joanna Wang A Comparson of Statstcal Methods n Interrupted Tme Seres Analyss to Estmate an Interventon Effect Research Fellow at Transport & Road Safety (TARS)

More information

A Proposal for the Goals and New Techniques of Modelling Pedestrian Evacuation in Fires

A Proposal for the Goals and New Techniques of Modelling Pedestrian Evacuation in Fires A Proposal for the Goals and New Technques of Modellng Pedestran Evacuaton n Fres TIMO KORHONEN, SIMO HOSTIKKA, and OLAVI KESKI-RAHKONEN VTT Techncal Research Centre of Fnland P.O. Box 1803 FI-02044 VTT,

More information

references Chapters on game theory in Mas-Colell, Whinston and Green

references Chapters on game theory in Mas-Colell, Whinston and Green Syllabus. Prelmnares. Role of game theory n economcs. Normal and extensve form of a game. Game-tree. Informaton partton. Perfect recall. Perfect and mperfect nformaton. Strategy.. Statc games of complete

More information

arxiv: v1 [math.nt] 29 Oct 2015

arxiv: v1 [math.nt] 29 Oct 2015 A DIGITAL BINOMIAL THEOREM FOR SHEFFER SEQUENCES TOUFIK MANSOUR AND HIEU D. NGUYEN arxv:1510.08529v1 [math.nt] 29 Oct 2015 Abstract. We extend the dgtal bnomal theorem to Sheffer polynomal sequences by

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

A Dynamic Inventory Control Policy Under Demand, Yield and Lead Time Uncertainties

A Dynamic Inventory Control Policy Under Demand, Yield and Lead Time Uncertainties A Dynamc Inventory Control Polcy Under Demand, Yeld and ead Tme Uncertantes Z. Baba, Yves Dallery To cte ths verson: Z. Baba, Yves Dallery. A Dynamc Inventory Control Polcy Under Demand, Yeld and ead Tme

More information

Equilibrium in Prediction Markets with Buyers and Sellers

Equilibrium in Prediction Markets with Buyers and Sellers Equlbrum n Predcton Markets wth Buyers and Sellers Shpra Agrawal Nmrod Megddo Benamn Armbruster Abstract Predcton markets wth buyers and sellers of contracts on multple outcomes are shown to have unque

More information

The evaluation method of HVAC system s operation performance based on exergy flow analysis and DEA method

The evaluation method of HVAC system s operation performance based on exergy flow analysis and DEA method The evaluaton method of HVAC system s operaton performance based on exergy flow analyss and DEA method Xng Fang, Xnqao Jn, Yonghua Zhu, Bo Fan Shangha Jao Tong Unversty, Chna Overvew 1. Introducton 2.

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

Jean-Paul Murara, Västeras, 26-April Mälardalen University, Sweden. Pricing EO under 2-dim. B S PDE by. using the Crank-Nicolson Method

Jean-Paul Murara, Västeras, 26-April Mälardalen University, Sweden. Pricing EO under 2-dim. B S PDE by. using the Crank-Nicolson Method Prcng EO under Mälardalen Unversty, Sweden Västeras, 26-Aprl-2017 1 / 15 Outlne 1 2 3 2 / 15 Optons - contracts that gve to the holder the rght but not the oblgaton to buy/sell an asset sometmes n the

More information

Members not eligible for this option

Members not eligible for this option DC - Lump sum optons R6.1 Uncrystallsed funds penson lump sum An uncrystallsed funds penson lump sum, known as a UFPLS (also called a FLUMP), s a way of takng your penson pot wthout takng money from a

More information

THE ALUMINIUM PRICE FORECASTING BY REPLACING THE INITIAL CONDITION VALUE BY THE DIFFERENT STOCK EXCHANGES

THE ALUMINIUM PRICE FORECASTING BY REPLACING THE INITIAL CONDITION VALUE BY THE DIFFERENT STOCK EXCHANGES Acta Metallurgca Slovaca, Vol. 20, 2014, No. 1, p. 115-124 115 THE ALUMINIUM PRICE FORECASTING BY REPLACING THE INITIAL CONDITION VALUE BY THE DIFFERENT STOCK EXCHANGES Marcela Lascsáková 1) *, Peter Nagy

More information

WHAT ARE REGISTERED SHARES?

WHAT ARE REGISTERED SHARES? Regstered Shares Secton BECOME A REGISTERED SHAREHOLDER AND RECEIVE A LOYALTY BONUS +10% WHAT ARE? Holdng regstered shares means that your shares are regstered n your name, makng t easer for you to receve

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Cardholder Application Form

Cardholder Application Form Cardholder Applcaton Form Place a cross aganst the product for whch you requre a new cardholder. onecard Corporate Card Purchasng Card Gudelnes for completng ths form On screen Use the tab key to move

More information

Fast Laplacian Solvers by Sparsification

Fast Laplacian Solvers by Sparsification Spectral Graph Theory Lecture 19 Fast Laplacan Solvers by Sparsfcaton Danel A. Spelman November 9, 2015 Dsclamer These notes are not necessarly an accurate representaton of what happened n class. The notes

More information

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY 1 Table of Contents INTRODUCTION 3 TR Prvate Equty Buyout Index 3 INDEX COMPOSITION 3 Sector Portfolos 4 Sector Weghtng 5 Index Rebalance 5 Index

More information

Problems to be discussed at the 5 th seminar Suggested solutions

Problems to be discussed at the 5 th seminar Suggested solutions ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer

More information

Random Variables. b 2.

Random Variables. b 2. Random Varables Generally the object of an nvestgators nterest s not necessarly the acton n the sample space but rather some functon of t. Techncally a real valued functon or mappng whose doman s the sample

More information

The convolution computation for Perfectly Matched Boundary Layer algorithm in finite differences

The convolution computation for Perfectly Matched Boundary Layer algorithm in finite differences The convoluton computaton for Perfectly Matched Boundary Layer algorthm n fnte dfferences Herman Jaramllo May 10, 2016 1 Introducton Ths s an exercse to help on the understandng on some mportant ssues

More information

COFUNDS PENSION ACCOUNT FLEXI-ACCESS DRAWDOWN FORM

COFUNDS PENSION ACCOUNT FLEXI-ACCESS DRAWDOWN FORM COFUNDS PENSION ACCOUNT FLEXI-ACCESS DRAWDOWN FORM Also avalable on the Aegon webste: Cofunds Penson Account Income Payment or Amendments Request Form - start/amend exstng drawdown ncome Cofunds Penson

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

The Integration of the Israel Labour Force Survey with the National Insurance File

The Integration of the Israel Labour Force Survey with the National Insurance File The Integraton of the Israel Labour Force Survey wth the Natonal Insurance Fle Natale SHLOMO Central Bureau of Statstcs Kanfey Nesharm St. 66, corner of Bach Street, Jerusalem Natales@cbs.gov.l Abstact:

More information

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique.

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique. 1.7.4 Mode Mode s the value whch occurs most frequency. The mode may not exst, and even f t does, t may not be unque. For ungrouped data, we smply count the largest frequency of the gven value. If all

More information

Cliquet Options and Volatility Models

Cliquet Options and Volatility Models Clquet Optons and olatlty Models Paul Wlmott paul@wlmott.com 1 Introducton Clquet optons are at present the heght of fashon n the world of equty dervatves. These contracts, llustrated by the term sheet

More information

PERFORMANCE OF RIDGE REGRESSION ESTIMATOR METHODS ON SMALL SAMPLE SIZE BY VARYING CORRELATION COEFFICIENTS: A SIMULATION STUDY

PERFORMANCE OF RIDGE REGRESSION ESTIMATOR METHODS ON SMALL SAMPLE SIZE BY VARYING CORRELATION COEFFICIENTS: A SIMULATION STUDY Journal of Mathematcs and Statstcs 10 (1: 5-9, 014 ISSN: 1549-3644 014 Scence Publcatons do:10.3844/jmss.014.5.9 Publshed Onlne 10 (1 014 (htt://www.thescub.com/jmss.toc PERFORMANCE OF RIDGE REGRESSION

More information

COFUNDS PENSION ACCOUNT TRANSFER REQUEST FORM for existing clients

COFUNDS PENSION ACCOUNT TRANSFER REQUEST FORM for existing clients COFUNDS PENSION ACCOUNT TRANSFER REQUEST FORM for exstng clents Also avalable on the Aegon webste: Cofunds Penson Account Drawdown Transfer Request Form transfer a penson plan from whch full or partal

More information

Members not eligible for this option

Members not eligible for this option DC - Lump sum optons R6.2 Uncrystallsed funds penson lump sum An uncrystallsed funds penson lump sum, known as a UFPLS (also called a FLUMP), s a way of takng your penson pot wthout takng money from a

More information

Data Mining Linear and Logistic Regression

Data Mining Linear and Logistic Regression 07/02/207 Data Mnng Lnear and Logstc Regresson Mchael L of 26 Regresson In statstcal modellng, regresson analyss s a statstcal process for estmatng the relatonshps among varables. Regresson models are

More information

Wages as Anti-Corruption Strategy: A Note

Wages as Anti-Corruption Strategy: A Note DISCUSSION PAPER November 200 No. 46 Wages as Ant-Corrupton Strategy: A Note by dek SAO Faculty of Economcs, Kyushu-Sangyo Unversty Wages as ant-corrupton strategy: A Note dek Sato Kyushu-Sangyo Unversty

More information

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014 Famly Name prnt): YORK UNIVERSITY Faculty of Scence Department of Mathematcs and Statstcs MATH 2280.00 A Test #2 November 0, 2014 Solutons Gven Name: Student No: Sgnature: INSTRUCTIONS: 1. Please wrte

More information

Comparing welfare effects of different regulation schemes: an application to the electricity distribution industry

Comparing welfare effects of different regulation schemes: an application to the electricity distribution industry Comarng welfare effects of dfferent regulaton schemes: an alcaton to the electrc dstrbuton ndustr Mara Kosakangas-Savolanen and Raul Svento Unvers of Oulu, Deartment of Economcs and Martt Ahtsaar Instute

More information

Computational Finance

Computational Finance Department of Mathematcs at Unversty of Calforna, San Dego Computatonal Fnance Dfferental Equaton Technques [Lectures 8-10] Mchael Holst February 27, 2017 Contents 1 Modelng Fnancal Optons wth the Black-Scholes

More information

A political-economic analysis of free-trade agreements: Comment

A political-economic analysis of free-trade agreements: Comment A oltcal-economc analyss of free-trade agreements: Comment By ueeng u Abstract: n hs aer n the Amercan Economc Reve, evy (997) develos a oltcal economy model of free-trade agreements (s). He emhaszes that

More information

Algorithm For The Techno-Economic Optimization Applied In Projects Of Wind Parks Of Latin America.

Algorithm For The Techno-Economic Optimization Applied In Projects Of Wind Parks Of Latin America. IOSR Journal of Mechancal and Cvl Engneerng (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 13, Issue 4 Ver. VI (Jul. - Aug. 2016), PP 60-65 www.osrjournals.org Algorthm For The Techno-Economc

More information

Developing a quadratic programming model for time-cost trading off in construction projects under probabilistic constraint

Developing a quadratic programming model for time-cost trading off in construction projects under probabilistic constraint Proceedngs of the Internatonal Conference on Industral Engneerng and Operatons Management Rabat, Morocco, Aprl 11-13, 2017 Developng a quadratc programmng model for tme-cost tradng off n constructon projects

More information

A New Iterative Scheme for the Solution of Tenth Order Boundary Value Problems Using First-Kind Chebychev Polynomials

A New Iterative Scheme for the Solution of Tenth Order Boundary Value Problems Using First-Kind Chebychev Polynomials Fll Length Research Artcle Avalable onlne at http://www.ajol.nfo/ndex.php/njbas/ndex Ngeran Jornal of Basc and Appled Scence (Jne, 6), (): 76-8 DOI: http://dx.do.org/.3/njbas.v. ISSN 79-5698 A New Iteratve

More information

ISE Cloud Computing Index Methodology

ISE Cloud Computing Index Methodology ISE Cloud Computng Index Methodology Index Descrpton The ISE Cloud Computng Index s desgned to track the performance of companes nvolved n the cloud computng ndustry. Index Calculaton The ISE Cloud Computng

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

Notes on experimental uncertainties and their propagation

Notes on experimental uncertainties and their propagation Ed Eyler 003 otes on epermental uncertantes and ther propagaton These notes are not ntended as a complete set of lecture notes, but nstead as an enumeraton of some of the key statstcal deas needed to obtan

More information

Calibration Methods: Regression & Correlation. Calibration Methods: Regression & Correlation

Calibration Methods: Regression & Correlation. Calibration Methods: Regression & Correlation Calbraton Methods: Regresson & Correlaton Calbraton A seres of standards run (n replcate fashon) over a gven concentraton range. Standards Comprsed of analte(s) of nterest n a gven matr composton. Matr

More information

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics Lmted Dependent Varable Models: Tobt an Plla N 1 CDS Mphl Econometrcs Introducton Lmted Dependent Varable Models: Truncaton and Censorng Maddala, G. 1983. Lmted Dependent and Qualtatve Varables n Econometrcs.

More information