Linearity, Slutsky symmetry, and a conjecture of Hicks. Abstract
|
|
- Sydney Darcy Perry
- 6 years ago
- Views:
Transcription
1 Learty Slutsy symmetry ad a coecture of Hcs Chrsta Weber Seattle Uversty Abstract Hcs (956) coectured that Slutsy symmetry should hold for dscrete as well as ftesmal rce chages f demad fuctos are globally lear. Ths aer roves ths coecture usg the LES utlty fucto ad the Slutsy comesato for rce chages. More mortatly shar cotrast to revous doubts exressed by Hcs Samuelso ad others ths aer rovdes the frst formal demostrato that comesated cross rce effects ca deed be symmetrc for dscrete chages rces. Ctato: Weber Chrsta (00) "Learty Slutsy symmetry ad a coecture of Hcs." Ecoomcs Bullet ol. 4 No.. 5 Submtted: July 00. Acceted: July URL: htt:// 0D0008A.df
2 . troducto t has log bee uderstood that the symmetry of the comesated cross rce effects frst demostrated by Slutsy (95) wll geeral hold exactly oly for ftesmal chages rces. Samuelso (947a) aears to have bee oe of the frst to argue that Slutsy s symmetry result seems to aly oly for dfferetal sze chages rces. He oted that the symmetry codto reflects dfferetal roertes of our demad fuctos whch are hard to vsualze ad hard to refute. (Samuelso 947a. 07) He oted that he had tred but thus far wthout success to deduce mlcatos of our tegrablty codtos whch ca be exressed fte form (Samuelso 947a. 07) Followg Samuelso s tal cotrbuto Samuelso (953) Hcs (956) ad Heady (986) all argued essece that for fte or dscrete chages rces Slutsy symmetry s a aroxmato whch should hold wth greater accuracy as chages rces become smaller. However hs dscusso of the Slutsy symmetry codto Hcs (956) wet a bt further by clamg wthout rovdg a roof that symmetry wll ecessarly hold eve for arbtrary dscrete chages rces as log as comesated demad curves are lear rces. Accordg to Hcs coecture f comesated demad curves are globally lear the symmetry should hold exactly ot merely as a aroxmato for arbtrarly large dscrete chages rces as well as for ftesmal chages rces. Ths aer uses the lear exedture system (LES) utlty fucto frst studed by Kle ad Rub (947) Samuelso (947b) Geary (950) ad Stoe (954) to rove Hcs coecture. As Samuelso (947b) ad Geary (950) showed f demad curves are to be lear come ad the rces of other goods the the utlty fucto must tae the secfc fuctoal form cosdered here. Thus we ca use ths fuctoal form to vestgate the coecto betwee learty of demad curves rces ad Slutsy symmetry for dscrete rce chages. Beyod rovg Hcs coecture ths aer s ma cotrbuto s to rovde the frst demostrato that comesated cross rce effects ca be symmetrc eve for o-ftesmal chages rces.. Dscrete Prce Chages LES Utlty Ths secto dscusses comesated demad curves derved for the lear exedture system utlty fucto. Thus recall that the LES utlty fucto defed over maret goods x x s gve by: U x x x lx ; 0 0 ; () where the s ad s are arametrc costats. Sce ths fuctoal form reduces to the Cobb- Douglas fuctoal form the secal case where = 0 for all the results derved here ecessarly hold for comesated demad fuctos derved from the Cobb-Douglas utlty fucto. Sce we wll be cocered here wth dscrete chages rces t s mortat to remember that whe rce chages are assumed to be dscrete there are two dfferet tyes of comesated demad curves. Alog the Hcsa demad curve the household s comesated for chages rces so as to hold utlty costat as rces chage. cotrast alog the Slutsy demad curve the household s comesated for chages rces so as to ermt the household to cotue urchasg the tal budle of goods as rces chage. Mosa (94) frst showed that these two
3 comesated demad curves are oly locally equvalet that s equvalet oly for ftesmal chages rces. t s straghtforward f slghtly tedous to show that whle the LES utlty fucto yelds Hcsa demad fuctos whch are o-lear fuctos of all rces t yelds a Slutsy demad fucto for good whch s o-lear oly. The Slutsy demad fucto s lear the rces of all other goods. (The Aedx rovdes a roof that the Hcsa demad fuctos are o-lear all rces.) That s for a gve ow rce the Slutsy demad fucto for good x s a lear fucto of for. To derve the Slutsy demad fuctos t s smlest to beg wth the Marshalla demad fuctos. The Marshalla demad fucto for good shows the quatty of good demaded as a fucto of come whch s assumed to be strctly ostve ad the rces of the goods whch are assumed to be strctly o-egatve. t s straghtforward to show that for the utlty fucto () the Marshalla demad curve for good s gve by: x. () Slberberg ad Sue (00) derve equato (). We ca covert ths Marshalla demad fucto to a Slutsy demad fucto whch holds total exedture o all goods costat as rces chage as follows: Assume that stead of holdg come costat as rces chage we adust come resose to a chage ay rce so as to ermt the household to cosume the gve budle [x * x * x *] at all sets of rces. That s we adust come as rces chage so that at all rce combatos = f( ) = x * wth x * treated as beg arametrcally gve for all. Substtutg ths come fucto to () yelds the Slutsy demad fucto: x x * x * x *. (3) Sce secto of (3) reveals that ths demad fucto s lear all of the rces excet the ow rce we ca easly calculate the mact of dscrete chages rces other tha o the demad for good. For examle for a dscrete chage the fuctoal form (3) mles that we have: x x * or : x x *. (4) Smlarly the effect of a dscrete chage o the demad for good wth s gve by: x x * or : x x *. (5)
4 To rove symmetry we must show that f the cosumto budle [x * x * x *] was otmal at the tal set of rces the the exressos (4) ad (5) must be equal. To see that ths s deed the case recall that sce the LES utlty fucto s quascocave ad twce dfferetable the x s at the tal set of rces the frst order codtos for maxmzg the utlty fucto () subect to the usual budget costrat clude the budget costrat ad: U (6) x x * where s the margal utlty of come that s the Lagrage multler for the come costrat the household s costraed utlty maxmzato roblem. At the tal rce vector the Lagrage multler ad the x * s solve the budget costrat ad the versos of equato (6). Fally observe that the f.o.c. s (6) mly:. (7) x * ) ( x * ) ( Multlyg equato (7) through by (x * - )(x * - ) we see mmedately that at the otmum the exressos for the Slutsy cross rce effects o the rghthad sdes of (4) ad (5) must both equal (x * - )(x * - ) ad hece that they must equal each other. Sce ths shows that the cross rce effects (4) ad (5) are equal eve for dscrete chages rces we have verfed Hcs coecture: f the (Slutsy comesated) demad fucto for each good s lear the rces of all other goods the comesated cross rce effects must be equal for dscrete as well as ftesmal chages rces. As was metoed the troducto ths seems to be the frst formal demostrato that for some refereces the Slutsy symmetry codto holds eve for dscrete chages rces. 3. Cocluso the rocess of rovg Hcs coecture we have also show that hstorcal essmsm cocerg the ossblty that cross rce effects mght be symmetrc for arbtrarly large dscrete chages rces (see e.g. Samuelso (947a 953) Hcs (956) ad Heady (986)) has bee at least artally mslaced. That s for at least oe class of refereces comesated cross rce effects wll deed be symmetrc eve for arbtrary o-ftesmal chages rces f the comesato follows Slutsy rather tha Hcs. t s already uderstood that the ow substtuto effect s egatve for dscrete as well as ftesmal rce chages. Smlarly whe the come comesato taes the Slutsy (95) rather tha the Hcs (946) form the Slutsy equato ad the mlcato that the rce weghted sum of the comesated cross rce effects s zero all stll hold for dscrete rce chages. Ths aer has added a fourth comaratve statcs mlcato of the utlty maxmzato hyothess (uder a sutable restrcto o refereces) whch cotues to hold for dscrete chages rces. t remas a mortat toc for future research to determe codtos uder whch other comaratve statcs results orgally derved oly for ftesmal chages arameters cotue to hold for dscrete chages as well. 3
5 APPENDX Ths aedx demostrates that Hcsa demad fuctos derved from the LES utlty fucto wll be o-lear fuctos of all rces. To see ths smly substtute the Marshalla demad fucto equato () bac to the utlty fucto () to derve the drect utlty fucto ( ): l l l ) ( where the secod equalty maes use of the ormalzato =. Settg utlty equal to the costat 0 exoetatg ad rearragg slghtly the yelds the followg equvalet reresetato of the household s drect refereces *( ):. ) *( 0 e The vert the drect utlty fucto to obta the exedture fucto:. ) ( 0 0 e E By vrtue of Hotellg s lemma the Hcsa comesated demad fucto for good s the dervatve of the exedture fucto wth resect to. Sce oe of the s equals the exedture fucto s ot quadratc ay rce. Ths tur mles that the Hcsa comesated demad fuctos must be o-lear fuctos of all rces. Hece we caot test Hcs coecture o the Hcsa demad fuctos but oly o Slutsy demad fuctos. Slberberg ad Sue (00) rovde a smlar dervato of the Hcsa demad for the LES utlty fucto. 4
6 REFERENCES Geary R.C. (950) A Note o A Costat-utlty dex of the Cost of Lvg Revew of Ecoomc Studes Heady C. (986) A New Loo at the Symmetry of the Slutsy Matrx Uublshed worg aer Uversty College Lodo. Hcs J.R. (946) alue ad Catal d ed. Oxford Uversty Press: Oxford. Hcs J.R. (956) A Revso of Demad Theory Oxford Uversty Press: Oxford. Kle L.R. ad H. Rub (947) A Costat-utlty dex of the Cost of Lvg Revew of Ecoomc Studes Mosa J. (94) O the terretato of the Fudametal Equato of alue Theory Studes Mathematcal Ecoomcs ad Ecoometrcs Memory of Hery Schultz by O. Lage F. Mctyre ad T. Ytema Eds. Uversty of Chcago Press: Chcago Samuelso P.A. (947a) Foudatos of Ecoomc Aalyss Harvard Uversty Press: Cambrdge. Samuelso P.A. (947b) Some mlcatos of Learty Revew of Ecoomc Studes Samuelso P.A. (953) Cosumto Theorems Terms of Overcomesato Rather tha dfferece Comarsos Ecoomca 0-9. Slberberg E. ad W. Sue (00) The Structure of Ecoomcs: A Mathematcal Aalyss rw McGraw-Hll: New Yor. Slutsy E.E. (95) Sulla teora del blaco del cosumatore Gorale degl Ecoomst 5-6; rerted as O the Theory of the Budget of the Cosumer A.E.A. Readgs Prce Theory by J. Stgler ad K.E. Bouldg Eds. (95) Rchard D. rw c. Chcago. Stoe R. (954) Lear Exedture Systems ad Demad Aalyss: A Alcato to the Patter of Brtsh Demad Ecoomc Joural
Bezier curves. 1. Defining a Bezier curve. A closed Bezier curve can simply be generated by closing its characteristic polygon
Curve represetato Copyrght@, YZU Optmal Desg Laboratory. All rghts reserved. Last updated: Yeh-Lag Hsu (--). Note: Ths s the course materal for ME55 Geometrc modelg ad computer graphcs, Yua Ze Uversty.
More informationReconstruction of Gradient in Volume Rendering
ecostructo of Gradet Volume eder Žela Mhalovć, Leo Bud Uversty of Zareb Faculty of Electrcal Eeer ad Comut Usa, Zareb, Croata {zela.mhalovc, leo.bud}@fer.hr Abstract Ths aer deals wth recostructo of the
More information1-D matrix method. U 4 transmitted. incident U 2. reflected U 1 U 5 U 3 L 2 L 3 L 4. EE 439 matrix method 1
-D matrx method We ca expad the smple plae-wave scatterg for -D examples that we ve see to a more versatle matrx approach that ca be used to hadle may terestg -D problems. The basc dea s that we ca break
More informationITEM ToolKit Technical Support Notes
ITEM ToolKt Notes Fault Tree Mathematcs Revew, Ic. 2875 Mchelle Drve Sute 300 Irve, CA 92606 Phoe: +1.240.297.4442 Fax: +1.240.297.4429 http://www.itemsoft.com Page 1 of 15 6/1/2016 Copyrght, Ic., All
More informationLP: example of formulations
LP: eample of formulatos Three classcal decso problems OR: Trasportato problem Product-m problem Producto plag problem Operatos Research Massmo Paolucc DIBRIS Uversty of Geova Trasportato problem The decso
More informationNine Solved and Nine Open Problems in Elementary Geometry
Ne Solved ad Ne Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew e prevous proposed ad solved problems of elemetary D geometry
More informationChapter 3 Descriptive Statistics Numerical Summaries
Secto 3.1 Chapter 3 Descrptve Statstcs umercal Summares Measures of Cetral Tedecy 1. Mea (Also called the Arthmetc Mea) The mea of a data set s the sum of the observatos dvded by the umber of observatos.
More informationFor all questions, answer choice E) NOTA" means none of the above answers is correct. A) 50,500 B) 500,000 C) 500,500 D) 1,001,000 E) NOTA
For all questos, aswer choce " meas oe of the above aswers s correct.. What s the sum of the frst 000 postve tegers? A) 50,500 B) 500,000 C) 500,500 D),00,000. What s the sum of the tegers betwee 00 ad
More informationProperties of Linguistic 2-tuple Judgment Matrix with Additive Consistency
Proertes of Lgustc -tule Judgmet Matrx wth Addtve Cosstecy Xxag Zhag Jg Le 3 Bao-a Yag Glorous Su School of Busess ad Maagemet Doghua Uversty Shagha 5 PRCha Iformato Egeerg School Jaxg College Jaxg 34
More informationEight Solved and Eight Open Problems in Elementary Geometry
Eght Solved ad Eght Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew eght prevous proposed ad solved problems of elemetary
More informationPakistan Journal of Life and Social Sciences
Pak.. lfe soc. Sc. (2012), 10(1): 53-58 E-ISSN: 2221-7630; P-ISSN: 1727-4915 Paksta Joural of Lfe ad Socal Sceces www.plss.edu.pk Estmatg Cosumer Demad of Maor Food Items Paksta: A Mcro Data Aalyss K hal
More information16. Axiomatic and Stochastic Approaches to Index Number Theory
6. Axomatc ad Stochastc Aroaches to Idex Number Theory A. Itroducto 6. As Chater 5 demostrated, t s useful to be able to evaluate varous dex umber formulas that have bee roosed terms of ther roertes. If
More informationOffice Hours. COS 341 Discrete Math. Office Hours. Homework 8. Currently, my office hours are on Friday, from 2:30 to 3:30.
Oce Hours Curretly, my oce hours are o Frday, rom :30 to 3:30. COS 31 Dscrete Math 1 Oce Hours Curretly, my oce hours are o Frday, rom :30 to 3:30. Nobody seems to care. Chage oce hours? Tuesday, 8 PM
More informationOn a Sufficient and Necessary Condition for Graph Coloring
Ope Joural of Dscrete Matheatcs, 04, 4, -5 Publshed Ole Jauary 04 (http://wwwscrporg/joural/ojd) http://dxdoorg/0436/ojd04400 O a Suffcet ad Necessary Codto for raph Colorg Maodog Ye Departet of Matheatcs,
More informationCOMSC 2613 Summer 2000
Programmg II Fal Exam COMSC 63 Summer Istructos: Name:. Prt your ame the space provded Studet Id:. Prt your studet detfer the space Secto: provded. Date: 3. Prt the secto umber of the secto whch you are
More informationAPR 1965 Aggregation Methodology
Sa Joaqu Valley Ar Polluto Cotrol Dstrct APR 1965 Aggregato Methodology Approved By: Sged Date: March 3, 2016 Araud Marjollet, Drector of Permt Servces Backgroud Health rsk modelg ad the collecto of emssos
More informationPoint Estimation-III: General Methods for Obtaining Estimators
Pot Estmato-III: Geeral Methods for Obtag Estmators RECAP 0.-0.6 Data: Radom Sample from a Populato of terest o Real valued measuremets: o Assumpto (Hopefully Reasoable) o Model: Specfed Probablty Dstrbuto
More informationCubic fuzzy H-ideals in BF-Algebras
OSR Joural of Mathematcs (OSR-JM) e-ssn: 78-578 p-ssn: 39-765X Volume ssue 5 Ver (Sep - Oct06) PP 9-96 wwwosrjouralsorg Cubc fuzzy H-deals F-lgebras Satyaarayaa Esraa Mohammed Waas ad U du Madhav 3 Departmet
More informationMode Changes in Priority Pre-emptively Scheduled Systems. K. W. Tindell, A. Burns, A. J. Wellings
ode hages rorty re-emptvely Scheduled Systems. W. dell, A. Burs, A.. Wellgs Departmet of omputer Scece, Uversty of York, Eglad Abstract may hard real tme systems the set of fuctos that a system s requred
More informationEight Solved and Eight Open Problems in Elementary Geometry
Eght Solved ad Eght Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew eght prevous proposed ad solved problems of elemetary
More informationEDGE- ODD Gracefulness of the Tripartite Graph
EDGE- ODD Graceuless o the Trpartte Graph C. Vmala, A. Saskala, K. Ruba 3, Asso. Pro, Departmet o Mathematcs, Peryar Maamma Uversty, Vallam, Thajavur Post.. Taml Nadu, Ida. 3 M. Phl Scholar, Departmet
More informationIJIRST International Journal for Innovative Research in Science & Technology Volume 1 Issue 8 January 2015 ISSN (online):
IJIRST Iteratoal Joural for Iovatve Research Scece & Techology Volume Issue 8 Jauary 05 ISSN (ole): 349-600 Sestvty alyss of GR Method For Itutostc Fuzzy Iformato of MDM: The Results of Chage I The Weght
More informationPreventing Information Leakage in C Applications Using RBAC-Based Model
Proceedgs of the 5th WSEAS It. Cof. o Software Egeerg Parallel ad Dstrbuted Systems Madrd Spa February 5-7 2006 (pp69-73) Prevetg Iformato Leakage C Applcatos Usg RBAC-Based Model SHIH-CHIEN CHOU Departmet
More informationArea and Power Efficient Modulo 2^n+1 Multiplier
Iteratoal Joural of Moder Egeerg Research (IJMER) www.jmer.com Vol.3, Issue.3, May-Jue. 013 pp-137-1376 ISSN: 49-6645 Area ad Power Effcet Modulo ^+1 Multpler K. Ptambar Patra, 1 Saket Shrvastava, Sehlata
More informationMachine Learning: Algorithms and Applications
/03/ Mache Learg: Algorthms ad Applcatos Florao Z Free Uversty of Boze-Bolzao Faculty of Computer Scece Academc Year 0-0 Lecture 3: th March 0 Naïve Bayes classfer ( Problem defto A trag set X, where each
More informationOligopoly. Oligopoly. Cournot. Cournot. FOCs. Implications of FOCs. Implications of. = π. n firms, each maximizing. n firms, each maximizing.
Olgooly Olgooly Courot Courot frm, each maxmzg frm, each maxmzg c π 0 c + π Imlcato of Imlcato of FOC FOC Share Share Hrchma Herfdahl Idex Hrchma Herfdahl Idex. ε c HHI ε ε HHI c Courot Rereet a tractable
More informationThe Application of Imperialist Competitive Algorithm for Fuzzy Random Portfolio Selection Problem
Iteratoal Joural of Comuter Alcatos (975 8887) Volume 79 9, October 23 The Alcato of Imeralst Comettve Algorthm for Fuzzy Radom Portfolo Selecto Problem Mr Ehsa Hesam Sadat Urma Uversty Urma, Ira Jamshd
More informationWeighting Cache Replace Algorithm for Storage System
Weghtg Cache Replace Algorthm for Storage System Yhu Luo 2 Chagsheg Xe 2 Chegfeg Zhag 2 School of mathematcs ad Computer Scece, Hube Uversty, Wuha 430062, P.R. Cha 2 Natoal Storage System Laboratory, School
More informationA PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS
ISSN: 39-8753 Iteratoal Joural of Iovatve Research Scece, Egeerg ad Techology A ISO 397: 7 Certfed Orgazato) Vol. 3, Issue, Jauary 4 A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS
More informationA Comparison of Univariate Smoothing Models: Application to Heart Rate Data Marcus Beal, Member, IEEE
A Comparso of Uvarate Smoothg Models: Applcato to Heart Rate Data Marcus Beal, Member, IEEE E-mal: bealm@pdx.edu Abstract There are a umber of uvarate smoothg models that ca be appled to a varety of olear
More informationMATHEMATICAL PROGRAMMING MODEL OF THE CRITICAL CHAIN METHOD
MATHEMATICAL PROGRAMMING MODEL OF THE CRITICAL CHAIN METHOD TOMÁŠ ŠUBRT, PAVLÍNA LANGROVÁ CUA, SLOVAKIA Abstract Curretly there s creasgly dcated that most of classcal project maagemet methods s ot sutable
More informationPerformance Impact of Load Balancers on Server Farms
erformace Impact of Load Balacers o Server Farms Ypg Dg BMC Software Server Farms have gaed popularty for provdg scalable ad relable computg / Web servces. A load balacer plays a key role ths archtecture,
More informationCOMBINATORIAL METHOD OF POLYNOMIAL EXPANSION OF SYMMETRIC BOOLEAN FUNCTIONS
COMBINATORIAL MTHOD O POLYNOMIAL XPANSION O SYMMTRIC BOOLAN UNCTIONS Dala A. Gorodecky The Uted Isttute of Iformatcs Prolems of Natoal Academy of Sceces of Belarus, Msk,, Belarus, dala.gorodecky@gmal.com.
More informationClustering documents with vector space model using n-grams
Clusterg documets wth vector space model usg -grams Klas Skogmar, d97ksk@efd.lth.se Joha Olsso, d97jo@efd.lth.se Lud Isttute of Techology Supervsed by: Perre Nugues, Perre.Nugues@cs.lth.se Abstract Ths
More informationDescriptive Statistics: Measures of Center
Secto 2.3 Descrptve Statstcs: Measures of Ceter Frequec dstrbutos are helpful provdg formato about categorcal data, but wth umercal data we ma wat more formato. Statstc: s a umercal measure calculated
More informationAT MOST EDGE 3 - SUM CORDIAL LABELING FOR SOME GRAPHS THE STANDARD
Iteratoal Joural o Research Egeerg ad Appled Sceces IJREAS) Avalable ole at http://euroasapub.org/ourals.php Vol. x Issue x, July 6, pp. 86~96 ISSNO): 49-395, ISSNP) : 349-655 Impact Factor: 6.573 Thomso
More informationEnumerating XML Data for Dynamic Updating
Eumeratg XML Data for Dyamc Updatg Lau Ho Kt ad Vcet Ng Departmet of Computg, The Hog Kog Polytechc Uversty, Hug Hom, Kowloo, Hog Kog cstyg@comp.polyu.edu.h Abstract I ths paper, a ew mappg model, called
More informationFace Recognition using Supervised & Unsupervised Techniques
Natoal Uversty of Sgapore EE5907-Patter recogto-2 NAIONAL UNIVERSIY OF SINGAPORE EE5907 Patter Recogto Project Part-2 Face Recogto usg Supervsed & Usupervsed echques SUBMIED BY: SUDEN NAME: harapa Reddy
More informationCS 2710 Foundations of AI Lecture 22. Machine learning. Machine Learning
CS 7 Foudatos of AI Lecture Mache learg Mlos Hauskrecht mlos@cs.ptt.edu 539 Seott Square Mache Learg The feld of mache learg studes the desg of computer programs (agets) capable of learg from past eperece
More informationA New Newton s Method with Diagonal Jacobian Approximation for Systems of Nonlinear Equations
Joural of Mathematcs ad Statstcs 6 (3): 46-5, ISSN 549-3644 Scece Publcatos A New Newto s Method wth Dagoal Jacoba Appromato for Systems of Nolear Equatos M.Y. Wazr, W.J. Leog, M.A. Hassa ad M. Mos Departmet
More informationANALYSIS OF VARIANCE WITH PARETO DATA
Proceedgs of the th Aual Coferece of Asa Pacfc Decso Sceces Isttute Hog Kog, Jue -8, 006, pp. 599-609. ANALYSIS OF VARIANCE WITH PARETO DATA Lakhaa Watthaacheewakul Departmet of Mathematcs ad Statstcs,
More informationChEn 475 Statistical Analysis of Regression Lesson 1. The Need for Statistical Analysis of Regression
Statstcal-Regresso_hadout.xmcd Statstcal Aalss of Regresso ChE 475 Statstcal Aalss of Regresso Lesso. The Need for Statstcal Aalss of Regresso What do ou do wth dvdual expermetal data pots? How are the
More informationNEURO FUZZY MODELING OF CONTROL SYSTEMS
NEURO FUZZY MODELING OF CONTROL SYSTEMS Efré Gorrosteta, Carlos Pedraza Cetro de Igeería y Desarrollo Idustral CIDESI, Av Pe de La Cuesta 70. Des. Sa Pablo. Querétaro, Qro, Méxco gorrosteta@teso.mx pedraza@cdes.mx
More informationA Genetic K-means Clustering Algorithm Applied to Gene Expression Data
A Geetc K-meas Clusterg Algorthm Appled to Gee Expresso Data Fag-Xag Wu, W. J. Zhag, ad Athoy J. Kusal Dvso of Bomedcal Egeerg, Uversty of Sasatchewa, Sasatoo, S S7N 5A9, CANADA faw34@mal.usas.ca, zhagc@egr.usas.ca
More informationQUADRATURE POINTS ON POLYHEDRAL ELEMENTS
QUADRATURE POINTS ON POLYHEDRAL ELEMENTS Tobas Pck, Peter Mlbradt 2 ABSTRACT The method of the fte elemets s a flexble umerc procedure both for terpolato ad approxmato of the solutos of partal dfferetal
More informationEstimation of Co-efficient of Variation in PPS sampling.
It. Statstcal Ist.: Proc. 58th World Statstcal Cogress, 0, Dubl (Sesso CPS00) p.409 Estmato of Co-effcet of Varato PPS samplg. Archaa. V ( st Author) Departmet of Statstcs, Magalore Uverst Magalagagotr,
More informationBlind Steganalysis for Digital Images using Support Vector Machine Method
06 Iteratoal Symposum o Electrocs ad Smart Devces (ISESD) November 9-30, 06 Bld Stegaalyss for Dgtal Images usg Support Vector Mache Method Marcelus Hery Meor School of Electrcal Egeerg ad Iformatcs Badug
More informationProcess Quality Evaluation based on Maximum Entropy Principle. Yuhong Wang, Chuanliang Zhang, Wei Dai a and Yu Zhao
Appled Mechacs ad Materals Submtted: 204-08-26 ISSN: 662-7482, Vols. 668-669, pp 625-628 Accepted: 204-09-02 do:0.4028/www.scetfc.et/amm.668-669.625 Ole: 204-0-08 204 Tras Tech Publcatos, Swtzerlad Process
More informationFrom Math to Efficient Hardware. James C. Hoe Department of ECE Carnegie Mellon University
FFT Compler: From Math to Effcet Hardware James C. Hoe Departmet of ECE Carege Mello Uversty jot wor wth Peter A. Mlder, Fraz Frachett, ad Marus Pueschel the SPIRAL project wth support from NSF ACR-3493,
More informationTheoretical Computer Science
Theoretcal Computer Scece 40 009 949 957 Cotets lsts avalable at SceceDrect Theoretcal Computer Scece joural homepage: www.elsever.com/locate/tcs Improved approxmato bouds for edge domatg set dese graphs
More informationDelay based Duplicate Transmission Avoid (DDA) Coordination Scheme for Opportunistic routing
Delay based Duplcate Trasmsso Avod (DDA) Coordato Scheme for Opportustc routg Ng L, Studet Member IEEE, Jose-Fera Martez-Ortega, Vcete Heradez Daz Abstract-Sce the packet s trasmtted to a set of relayg
More informationKeywords: complete graph, coloursignlesslaplacian matrix, coloursignlesslaplacian energy of a graph.
Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs Avalable ole at http://www.asr.et ISSN (Prt): 38-3491, ISSN (Ole): 38-3580, ISSN (CD-ROM): 38-369 AIJRSTEM s a refereed, dexed,
More informationA Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
A Fuzzy Clusterg Algorthm usg Cellular Learg Automata based Evolutoary Algorthm R. Rastegar A. R. Arasteh A. Harr M. R. Meybod Comuter Egeerg Deartmet Amrabr Uversty of Techology Tehra, Ira Abstract I
More informationThe Cost of Living Index for Poor Households: The Case of Vietnam
MPRA Much Persoal RePEc Archve The Cost of Lvg Idex for Poor Households: The Case of Vetam Cuog Nguye Vet 29. Jue 22 Ole at htt://mra.ub.u-mueche.de/25628/ MPRA Paer No. 25628, osted 5. October 2 4:7 UTC
More informationOptimal Allocation of Complex Equipment System Maintainability
Optmal Allocato of Complex Equpmet System ataablty X Re Graduate School, Natoal Defese Uversty, Bejg, 100091, Cha edcal Protecto Laboratory, Naval edcal Research Isttute, Shagha, 200433, Cha Emal:rexs841013@163.com
More informationSome Interesting SAR Change Detection Studies
Some Iterestg SAR Chage Detecto Studes Lesle M. ovak Scetfc Sstems Compa, Ic. 500 West Cummgs Park, Sute 3000 Wobur, MA 080 USA E-mal lovak@ssc.co ovakl@charter.et ABSTRACT Performace results of coheret
More informationDifferentiated Service of Streaming Media Playback Technology
Iteratoal Coferece o Advaced Iformato ad Commucato Techology for Educato (ICAICTE 2013) Dfferetated Servce of Streamg Meda Playback Techology CHENG Z-ao 1 MENG Bo 1 WANG Da-hua 1 ZHAO Yue 1 1 Iformatzato
More informationImproving Quality of Free-Viewpoint Image by Mesh Based 3D Shape Deformation
Imrovg Qualty of Free-Vewot Image by Mesh Based 3D Shae Deformato Satosh Yaguch Hdeo Sato Deartmet of Iformato ad Comuter Scece, Keo Uversty 3-4- Hyosh, Kohoku-ku, Yokohama, 3-85 JAPAN NTT COMWARE Cororato,
More informationCurve Modeling NURBS. Dr. S.M. Malaek. Assistant: M. Younesi
Crve Modelg NURBS Dr. S.M. Malaek Assstat: M. Yoes Motvato Motvato We eed more cotrol over the crve Desg Sketch Motvato Redered Motvato Motvato Fal Physcal Prodct Motvato Dfferet eghts of cotrol ots Motvato
More informationA Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
A Clusterg Algorthm usg Cellular Learg Automata based Evolutoary Algorthm R. RASTEGAR, M. RAHMATI, Member, IEEE, M. R. MEYBODI Comuter Eg. Deartmet, Amrkabr Uversty, Tehra, Ira {rrastegar, rahmat, meybod}@ce.aut.ac.r
More informationSome Results on Vertex Equitable Labeling
Ope Joural of Dscrete Mathematcs, 0,, 5-57 http://dxdoorg/0436/odm0009 Publshed Ole Aprl 0 (http://wwwscrporg/oural/odm) Some Results o Vertex Equtable Labelg P Jeyath, A Maheswar Research Cetre, Departmet
More informationPEIECWISE CONSTANT LEVEL SET METHOD BASED FINITE ELEMENT ANALYSIS FOR STRUCTURAL TOPOLOGY OPTIMIZATION USING PHASE FIELD METHOD
INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING It. J. Optm. Cvl Eg., 05; 5(4):389-407 PEIECWISE CONSTANT LEVEL SET METHOD BASED FINITE ELEMENT ANALYSIS FOR STRUCTURAL TOPOLOGY OPTIMIZATION
More informationBicubic G 1 interpolation of arbitrary quad meshes using a 4-split
Bcubc G terpolato of arbtrary quad meshes usg a 4-splt Stefae Hahma, Georges-Perre Boeau, Baptste Caramaux Laboratore Jea Kutzma, Greoble Uersty, Frace Abstract We preset a pecewse b-cubc parametrc G sple
More informationParallel Iterative Poisson Solver for a Distributed Memory Architecture
Parallel Iteratve Posso Solver for a Dstrbted Memory Archtectre Erc Dow Aerospace Comptatoal Desg Lab Departmet of Aeroatcs ad Astroatcs 2 Motvato Solvg Posso s Eqato s a commo sbproblem may mercal schemes
More informationA Dynamic Web Service Composition Algorithm Based on TOPSIS
296 JOURNAL OF NETWORKS, VOL. 6, NO. 9, SEPTEMBER 20 A Dyamc Web Servce Comosto Algorthm Based o TOPSIS Logchag Zhag Beg Uversty of Posts ad Telecommucatos, Beg, P.R.Cha Emal: zlc_77206@sohu.com Hua Zou
More informationTowards Green Cloud Computing: Demand Allocation and Pricing Policies for. Cloud service brokerage.
15 IEEE Iteratoal Coferece o Bg Data (Bg Data) Towards Gree Cloud Computg: Demad Allocato ad Prcg Polces for Cloud Servce Broerage Chex Qu, Hayg She ad Luhua Che Departmet of Electrcal ad Computer Egeerg
More informationSignal-Path Driven Partition and Placement for Analog Circuit
Sgal-Path Drve Partto ad Placemet for Aalog Crcut D Log Xalog Hog Sheq Dog EDA Lab Departmet of Computer Scece ad Techology Tsghua Uversty Beg 100084 Cha logd02@malstsghuaeduc; hxl-dcs@maltsghuaeduc; dogsq@maltsghuaeduc
More informationImage Compression. CS 663, Ajit Rajwade
Image Compresso CS 663, Ajt Rajwade Image Compresso Process of covertg a mage fle to aother mage fle that occupes less storage space, wthout sacrfcg ts vsual cotet Useful for savg storage space, ad trasmsso
More informationMulti-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI) *
Mult-modal Image Regstrato by Quattatve-Qualtatve Measure of Mutual Iformato (Q-MI) * Hogxa Lua 1, Fehu Q 1, ad Dggag She 2 1 Departmet of Computer Scece ad Egeerg, Shagha Jao Tog Uversty, Shagha, Cha
More informationAPPLICATION OF CLUSTERING METHODS IN BANK S PROPENSITY MODEL
APPLICATION OF CLUSTERING METHODS IN BANK S PROPENSITY MODEL Sergej Srota Haa Řezaková Abstract Bak s propesty models are beg developed for busess support. They should help to choose clets wth a hgher
More informationTransistor/Gate Sizing Optimization
Trasstor/Gate Szg Optmzato Gve: Logc etwork wth or wthout cell lbrary Fd: Optmal sze for each trasstor/gate to mmze area or power, both uder delay costrat Statc szg: based o tmg aalyss ad cosder all paths
More information2 General Regression Neural Network (GRNN)
4 Geeral Regresso Neural Network (GRNN) GRNN, as proposed b oald F. Specht [Specht 9] falls to the categor of probablstc eural etworks as dscussed Chapter oe. Ths eural etwork lke other probablstc eural
More informationA hybrid method using FAHP and TOPSIS for project selection Xuan Lia, Jiang Jiangb and Su Deng c
5th Iteratoal Coferece o Computer Sceces ad Automato Egeerg (ICCSAE 205) A hybrd method usg FAHP ad TOPSIS for project selecto Xua La, Jag Jagb ad Su Deg c College of Iformato System ad Maagemet, Natoal
More informationUsing Linear-threshold Algorithms to Combine Multi-class Sub-experts
Usg Lear-threshold Algorthms to Combe Mult-class Sub-experts Chrs Mesterharm MESTERHA@CS.RUTGERS.EDU Rutgers Computer Scece Departmet 110 Frelghuyse Road Pscataway, NJ 08854 USA Abstract We preset a ew
More informationNetwork Security Evaluation Based on Variable Weight Fuzzy Cloud Model
207 2 d Iteratoal Coferece o Computer Scece ad Techology (CST 207) ISBN: 978--60595-46-5 Networ Securty Evaluato Based o Varable Weght Fuzzy Cloud Model Yag JIANG a*, Cheg-ha LI, Zh-peg LI ad Mg-ca SUN
More informationAn Ensemble Multi-Label Feature Selection Algorithm Based on Information Entropy
The Iteratoal Arab Joural of Iformato Techology, Vol., No. 4, July 204 379 A Esemble Mult-Label Feature Selecto Algorthm Based o Iformato Etropy Shg L, Zheha Zhag, ad Jaq Dua School of Computer Scece,
More informationReliable Surface Extraction from Point-Clouds using Scanner-Dependent Parameters
1 Relable Surface Extracto from Pot-Clouds usg Scaer-Depedet Parameters Hrosh Masuda 1, Ichro Taaka 2, ad Masakazu Eomoto 3 1 The Uversty of Tokyo, masuda@sys.t.u-tokyo.ac.jp 2 Tokyo Dek Uversty, taaka@cck.deda.ac.jp
More informationBiological Neurons. Biological Neuron: Information Processing. Axon Hillock. Axon. Soma. Nucleus. Dendrite. Terminal. M. A. El Sharkawi, NN General 2
Bolocal Neuros Soa Ao Hlloc Ao Nucleus Dedrte eral M. A. El Shara, NN Geeral Bolocal Neuro: Iforato Process M. A. El Shara, NN Geeral 3 M. A. El Shara, NN Geeral 4 Recoto of Bolocal Neuros Lear (tra Recall
More informationSpatial Error Concealment Based on Bezier Curves Ocultamiento de Errores Espacial Mediante Curvas de Bezier
Computacó y Sstemas Vol. 9 Núm. 3, pp. 256-269 2006, CIC-IPN, ISSN 1405-5546, Impreso e Méxco Ocultameto de Errores Espacal Medate Curvas de Bezer Rogelo Hasmoto-Beltrá 1 ad Ashfaq A. Khokhar 2 1 Cetro
More informationTDT-2004: ADAPTIVE TOPIC TRACKING AT MARYLAND
TDT-2004: ADAPTIVE TOPIC TRACKING AT MARYLAND Tamer Elsayed, Douglas W. Oard, Davd Doerma Isttute for Advaced r Studes Uversty of Marylad, College Park, MD 20742 Cotact author: telsayed@cs.umd.edu Gary
More informationCOMPARISON OF PARAMETERIZATION METHODS USED FOR B-SPLINE CURVE INTERPOLATION
Europea Joural of Techc COMPARISON OF PARAMETERIZATION METHODS USED FOR B-SPLINE CURVE INTERPOLATION Sıtı ÖZTÜRK, Cegz BALTA, Melh KUNCAN 2* Kocael Üverstes, Mühedsl Faültes, Eletro ve Haberleşme Mühedslğ
More informationA Maximin Zero Suffix Method for Quadratic Transportation Problem
Aerca Joural of peratoal Research 06, 6(): 55-60 I: 0.59/.aor.06060.0 A Ma Zero Suff Method for Quadratc Trasportato Proble Shabhu Shara, Raa Shaker,*, Rav Shaker epartet of Matheatcs, ayalbagh Educatoal
More informationMode-based temporal filtering for in-band wavelet video coding with spatial scalability
Mode-based temporal flterg for -bad wavelet vdeo codg wth spatal scalablty ogdog Zhag a*, Jzheg Xu b, Feg Wu b, Weju Zhag a, ogka Xog a a Image Commucato Isttute, Shagha Jao Tog Uversty, Shagha b Mcrosoft
More informationBiconnected Components
Presetato for use wth the textbook, Algorthm Desg ad Applcatos, by M. T. Goodrch ad R. Tamassa, Wley, 2015 Bcoected Compoets SEA PVD ORD FCO SNA MIA 2015 Goodrch ad Tamassa Bcoectvty 1 Applcato: Networkg
More informationRegion Matching by Optimal Fuzzy Dissimilarity
Rego Matchg by Optmal Fuzzy Dssmlarty Zhaggu Zeg, Ala Fu ad Hog Ya School of Electrcal ad formato Egeerg The Uversty of Sydey Phoe: +6--935-6659 Fax: +6--935-3847 Emal: zzeg@ee.usyd.edu.au Abstract: Ths
More informationMINIMIZATION OF THE VALUE OF DAVIES-BOULDIN INDEX
MIIMIZATIO OF THE VALUE OF DAVIES-BOULDI IDEX ISMO ÄRÄIE ad PASI FRÄTI Departmet of Computer Scece, Uversty of Joesuu Box, FI-800 Joesuu, FILAD ABSTRACT We study the clusterg problem whe usg Daves-Bould
More informationVertex Odd Divisor Cordial Labeling of Graphs
IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue 0, October 0. www.jset.com Vertex Odd Dvsor Cordal Labelg of Graphs ISSN 48 68 A. Muthaya ad P. Pugaleth Assstat Professor, P.G.
More informationA Model of Market Segmentation with Risk
Proceedgs of the 38th Hawa Iteratoal Coferece o yste ceces - 5 A Model of Market egetato wth Rsk Or Maro Wlla E. o Graduate chool of Busess Adstrato Uversty of Rochester Rochester NY 467 aro@so.rochester.edu
More informationAn Improved Fuzzy C-Means Clustering Algorithm Based on Potential Field
07 d Iteratoal Coferece o Advaces Maagemet Egeerg ad Iformato Techology (AMEIT 07) ISBN: 978--60595-457-8 A Improved Fuzzy C-Meas Clusterg Algorthm Based o Potetal Feld Yua-hag HAO, Zhu-chao YU *, X GAO
More informationStatistical Techniques Employed in Atmospheric Sampling
Appedx A Statstcal Techques Employed Atmospherc Samplg A.1 Itroducto Proper use of statstcs ad statstcal techques s ecessary for assessg the qualty of ambet ar samplg data. For a comprehesve dscusso of
More informationUnsupervised Discretization Using Kernel Density Estimation
Usupervsed Dscretzato Usg Kerel Desty Estmato Maregle Bba, Floraa Esposto, Stefao Ferll, Ncola D Mauro, Teresa M.A Basle Departmet of Computer Scece, Uversty of Bar Va Oraboa 4, 7025 Bar, Italy {bba,esposto,ferll,dm,basle}@d.uba.t
More informationFEATURE SELECTION ON COMBINATIONS FOR EFFICIENT LEARNING FROM IMAGES. Rong Xiao, Lei Zhang, and Hong-Jiang Zhang
FEATURE SELECTION ON COMBINATIONS FOR EFFICIENT LEARNING FROM IMAGES Rog Xao, Le Zhag, ad Hog-Jag Zhag Mcrosoft Research Asa, Bejg 100080, P.R. Cha {t-rxao, lezhag, hjzhag}@mcrosoft.com ABSTRACT Due to
More informationEffects of Exterior Orientation Elements on Direct Georeferencing in POS-Supported Aerial Photogrammetry
Proceedgs of the 8th Iteratoal mposum o patal Accurac Assessmet atural Resources ad Evrometal ceces hagha P. R. Cha Jue 5-7 008 pp. 30-36 Effects of Eteror Oretato Elemets o Drect Georeferecg PO-upported
More informationClassification Web Pages By Using User Web Navigation Matrix By Mementic Algorithm
Classfcato Web Pages By Usg User Web Navgato Matrx By Memetc Algorthm 1 Parvaeh roustae 2 Mehd sadegh zadeh 1 Studet of Computer Egeerg Software EgeergDepartmet of ComputerEgeerg, Bushehr brach,
More informationSummary of Curve Smoothing Technology Development
RESEARCH ARTICLE Summary of Curve Smoothg Techology Developmet Wu Yze,ZhagXu,Jag Mgyag (College of Mechacal Egeerg, Shagha Uversty of Egeerg Scece, Shagha, Cha) Abstract: Wth the cotuous developmet of
More informationVanishing Point Detection: Representation Analysis and New Approaches
Publshed the Proceedgs of the th Iteratoal Coferece o Image Aalyss ad Processg (ICIAP ). IEEE. Persoal use of ths materal s permtted. However, permsso to reprt/republsh ths materal for advertsg or promotoal
More informationEvaluation of Node and Link Importance Based on Network Topology and Traffic Information DU Xun-Wei, LIU Jun, GUO Wei
Advaced Materals Research Submtted: 2014-08-29 ISSN: 1662-8985, Vols. 1049-1050, pp 1765-1770 Accepted: 2014-09-01 do:10.4028/www.scetfc.et/amr.1049-1050.1765 Ole: 2014-10-10 2014 Tras Tech Publcatos,
More informationAnalysis of Energy Consumption and Lifetime of Heterogeneous Wireless Sensor Networks
Aalyss of Eergy Cosumpto ad Lfetme of Heterogeeous Wreless Sesor Networks Erque J. Duarte-Melo, Mgya Lu EECS, Uversty of Mchga, A Arbor ejd, mgya @eecs.umch.edu Abstract The paper exames the performace
More informationThe Snell's laws at interfaces in anisotropic viscoelastic media
The Sell's laws at terfaces asotroc vscoelastc meda Václav Vavryčuk sttute of Geohyscs, cademy of Sceces, očí /40, Praha 4, Czech eublc, vv@g.cas.cz SUMMY The behavour of rays at terfaces asotroc vscoelastc
More informationAssociated Pagerank: A Content Relevance Weighted Pagerank Algorithm
Assocated Pagerak: A Cotet Relevace Weghted Pagerak Algorthm Jh-Shh Hsu,Cha-Che Ye Assocated Pagerak: A Cotet Relevace Weghted Pagerak Algorthm 1 Jh-Shh Hsu, 2 Cha-Che Ye 1 Natoal Yul Uversty of Scece
More information