Leonard F.S. Wang Department of Applied Economics, National University of Kaohsiung. Abstract

Size: px
Start display at page:

Download "Leonard F.S. Wang Department of Applied Economics, National University of Kaohsiung. Abstract"

Transcription

1 Trade lberalzato ad evrometal tax deretated olgopoly wth cosumpto exteraltes Leoard F.S. Wag Departmet o Appled Ecoomcs, Natoal Uversty o Kaohsug Ya-Ch Wag Departmet o Face ad Bakg, Ku Sha Uversty Ta-Lag Che Isttute o Ecoomcs ad Maagemet, Natoal Uversty o Kaohsug Abstract Ths paper vestgates the evromet tax ad trade lberalzato wth deret market structures (pure olgopoly or mxed olgopoly) juxtaposg the substtutablty o the goods (homogeous goods ad deretated goods), where evrometal damage s assocated wth cosumpto. It shows that the evrometal tax mxed olgopoly s hgher tha pure olgopoly rrespectve o the propertes o goods. I addto, t demostrates that whe the domestc market creases ts opegs, the tar reducto does ot always brg postve eects o the evromet mxed olgopoly; but, pure olgopoly wth homogeeous goods, the tar reducto s bad or the evromet. Ctato: Wag, Leoard F.S., Ya-Ch Wag, ad Ta-Lag Che, (27) "Trade lberalzato ad evrometal tax deretated olgopoly wth cosumpto exteraltes." Ecoomcs Bullet, Vol. 7, No. 8 pp. -9 Submtted: August 27, 27. Accepted: October 3, 27. URL:

2 . Itroducto Cotrollg polluto emsso has become the most mportat ad pressg ssue or most govermets to deal wth. I partcular, may developg coutres ace the alteratves betwee poor evrometal-qualty mprovemet ad developmet o the ecoomy. Wth market opeg, the mpact o trade lberalzato o the evromet has become the ocus o much atteto ad debate. May exstg studes are cocered about teralzg polluto exteraltes by usg evrometal tax lke Krutlla (99) who has ocused atteto o the determato o evrometal regulatos, ad dsregard the eect o trade lberalzato o polluto cotrol. Few studes have cosdered egatve exteraltes assocated wth cosumpto o the good such as gum-chewg, cgarette smokg ad gasole cosumpto that cause evrometal damage. Aderso (992) showed that lberalzg trade a good whose cosumpto gves rse to polluto wll cause a coutry s evromet to deterorate the good s mported. Metcale ad Begh (998) argued that whe polluto testes emtted cosumpto edogeously respod to evrometal polcy, ad whe ths polcy ders betwee tradg parters, a addtoal polcy strumet s requred to cap polluto testes, such as a stadard or a prohbtve tax o ay crease the testy o cosumpto polluto. La (24) examed trade ad evrometal polces a pure duopoly market, whle Ohor (26) exteded La s work a mxed duopoly model ad showed that the optmal evrometal tax a mxed duopoly s hgher tha the Pgouva level ad the optmal tax a pure duopoly. Furthermore, La ad Hu (25) demostrated that trade lberalzato wll ehace global welare trasboudary polluto-assocated cosumpto s sucetly strog as well as blateral reducto tars s beecal to the global evromet. I ths paper, we vestgate the optmal evrometal tax ad the evrometal eect o trade lberalzato a mxed olgopoly ad pure olgopoly, where rms produce the deretated goods ad the evrometal damage s assocated wth cosumpto. As a bechmark, we used the study coducted by La (24), who demostrates that trade lberalzato o drty goods leads to evrometal mprovemet ad Ohor (26), who demostrates that trade lberalzato o such drty goods has o luece o evrometal mprovemet. We the compared the evrometal tax beore prvatzato wth that ater prvatzato, ad that o producg deretated goods wth homogeeous goods. We oud that whe the domestc market creases ts opegs, the tar reducto does ot always brg postve eects o the evromet mxed olgopoly; but, pure olgopoly wth homogeeous goods, the tar reducto s bad or the evromet. Mxed olgopoly models wth oreg competto, see Fjell ad Pal (996), Pal ad Whte (998), ad Fjell ad Heywood (22)

3 Ths paper s orgazed as ollows. Secto 2 provdes the basc model. Secto 3 cludes the results o the aalyss olgopoly wth deretated goods ad does a comparso. Secto 4 aalyzes the eects o trade lberalzato. Secto 5 presets cocludg remarks. 2. The Model The model ollows Ohor s (26) basc set-up but cludes product deretato. Cosder a sgle teratoal market whch there exsts oe domestc rm (rm ) ad several prvate oreg rms (rm, =,..., ) competg a domestc coutry. Uder the Courot-Nash assumpto, the domestc rm s publc, t selects ts output order to maxmze the sum o cosumer surplus ad ts ow prot U ; the domestc rm s prvate, t chooses ts output order to maxmze ts ow prot π. The domestc ad oreg rms produce a deretated good, gve by q ( =, ), ad ths leads to polluto. The domestc govermet sets the evrometal tax t to cotrol the polluto that results rom evrometally harmul cosumpto. We assume that all cosumers the domestc coutry are the same, ad ormalze the sze o the populato the domestc coutry to oe. The represetatve cosumer derves utlty rom cosumg the good uder cosderato, ad suers rom cosumpto-type polluto. The utlty ucto o the represetatve cosumer the domestc coutry s as ollows Häcker (2) geeralzg the utlty ucto to allow or oreg rms ad oe domestc rm producg deretated goods, 2 2 V = a( q+ q) ( q + q + 2 γ qq j) + I θq () = 2 = j Where I s the composte goods, ad θ s the coecet o the margal polluto damage. By solvg the optmzato problem o the domestc cosumer, we ca derve the domestc verse demad ucto or the good, p pq ( ), where Q= q + γ q. Q deotes the aggregate output. We assume p <. I order to sharpe the study, t s also assumed that the verse demad ucto s lear (.e. p( Q) = a Q). The prot ucto o rm, π = ( p c t) q, where c s the costat margal producto cost. The publc rm s objectve ucto s deed as the sum o cosumer surplus ad the rm s prot, Q ( η) η π. (2) U = p d pq+ The evrometal damage ucto s gve by D= θq, where θ deotes the margal evrometal damage adθ. Socal welare the domestc coutry s = 2

4 Q ( η) η π τ. (3) = W = p d pq+ + tq+ q D The oreg prvate rm selects ts ow output order to maxmze ts prot, π = ( p c t τ ) q, =,2,...,, (4) where c s the costat margal producto cost ad τ s the tar rate, τ.whe we exame the duopoly case, equato (2) (3) ad (4) assumg = to represet oe oreg rm. For smplcty, each rm does ot have xed cost. It also assumes that the margal producto cost o the domestc rm s hgher tha that o the oreg rm ( c > c > ). 2 Moreover, as La ad Ohor, we cosder trade lberalzato to be a orm o tar reducto. 3. Evrometal Tax Olgopoly We exted the basc model cocerg the umber o oreg rms whch there s oe domestc rm ad oreg prvate rms producg deretated goods. 3. Pure Olgopoly We rst derve the optmal evrometal tax the pure olgopoly wth deretated goods. Uder the Courot-Nash assumpto, the domestc prvate rm selects ts output order to maxmze ts ow protπ, whle the oreg prvate rm chooses ts output order to maxmze ts ow protπ. We obta the ollowg rst-order codtos: p c t+ pq =, ad (5) p c t τ + p γ q =, =,2,...,. (6) The output eects o the taxes are obtaed by deretatg (5) ad (6) wth respect to t ad q, δ q δ t = ( + 2) p ad = ( δq δt) = γ( + 2) p. Ths demostrates that a crease the evrometal tax reduces the market share o all rms. Havg obtaed these results, we deretate socal welare equato wth respect to t ad set dw / dt = to obta optmal evrometal tax, DP * + 2γ + t = [2 ( c 2 c ) ( ) pq ] [ ] τ + θ, (7) ( + ) + γ ( + ) * where Q deotes optmal aggregate output 3. 2 See Cremer et al (989) or a justcato o ths assumpto. 3 (a) We use the superscrpts M P DM ad DP or the mxed Courot-Nash wth homogeeous goods, 3

5 3.2 Mxed Olgopoly We derve the optmal evrometal tax the mxed olgopoly wth deretated goods. Uder the Courot-Nash assumpto, the domestc rm selects ts output order to maxmze the sum o cosumer surplus ad ts ow protsu, whle the oreg prvate rm chooses ts output order to maxmze ts ow protπ. We obta the ollowg rst-order codtos, p c t p γ q =, ad (8) = p c t τ + p γ q =, =,2,...,. (9) The output eects o the taxes are obtaed by deretatg (8) ad (9) wth respect to t ad q, δq / δ t / ' ad = ( δq / δt) =. These demostrate that a crease the evrometal tax reduces the market share o the less ecet publc rm. Havg obtaed these results, we deretate socal welare equato wth respect to t ad set dw / dt = to obta optmal evrometal tax, c ( c ) DM t τ = + θ. () + From equato (7) () (A..4) ad (A.2.4) 4, we d that the optmal evrometal tax deret market wth deret propertes o goods s, M DM P DP t = t > t > t. We have the ollowg proposto. Proposto : I a teratoal olgopoly market where the evrometal damage s assocated wth cosumpto, the order o optmal evrometal tax parallels the results o the duopoly model. 4. The Eects o Trade Lberalzato We ow cosder the mpact o a chage the tar rate o the outputs o oe domestc rm ad oreg prvate rms the domestc market. We derve the total mpact o trade lberalzato o the evromet by deretatg the evrometal damage ucto wth respect toτ, dd δ D δd δt = + =. dτ δτ δt δτ pure Courot-Nash homogeeous goods, mxed Courot-Nash wth deretated goods, ad pure Courot-Nash wth deretated goods olgopoly respectvely. (b) Because the orm o optmal evrometal tax pure duopoly s ot as usual, there exsts a Thereore, we supply a specal case to smply ths equato appedx B. 4 See appedx A. or dervg optmal tax rate pure ad mxed olgopoly homogeeous goods. 4 ' * p Q term.

6 We obtaed the ollowg our results or deret market structures ad commodtes propertes: Case (): pure olgopoly wth homogeeous goods P dd = dτ ( + 2) ( + ) p ( ) 2 2 P 3 2 δt ( ) = < 2 δτ ( + ) ( + 2) P dd dτ > 2 P dd dτ < 3 Case (): mxed olgopoly wth homogeeous goods M dd = ; dτ M δt = < δτ + Case (): pure olgopoly wth deretated goods dd = > ; DP [( γ ) + ( 4γ + 4γ 3) + ( 8γ + 4γ 2) + ( 5γ + 2 γ) ] dτ ( + 2) ( + ) γ p DP δt + γ + + γ + = < δτ 3 2 [ 3( ) (3 2) ] 2 γ ( + ) ( + 2) Case (v): mxed olgopoly wth deretated goods DM dd ( γ) θ = < ; dτ ( + ) γ p DM δt = < δτ + Accordg to the above results, we kow o matter what types o market structures, there s a egatve relatoshp betwee tar rate τ ad evrometal taxes t ; that s, the govermet opes the market wholly to make the umbers o oreg rms crease rom to, t may cause more polluto; hece, the govermet should rase the evrometal tax. I pure olgopoly wth homogeeous goods, the umbers o rms are equal ad less tha two (.e. 2 ), a tar reducto wll mprove the evromet;however, the umbers o rms are equal ad greater tha three (.e. 3 ), a tar reducto has harmul eect o the evromet. I mxed olgopoly wth homogeeous goods, a tar reducto has o 5

7 eect o the evrometal damage assocated wth cosumpto, whch s the same as Ohor s (26) result. However, the pure olgopoly wth deretated goods, a tar reducto has a postve mpact o the evromet; but, mxed olgopoly wth deretated goods, a tar reducto has harmul eect o the evromet. Whe exogeous varables or γ equal, we obta the same results as the duopoly market (La ad Ohor s work). We have the ollowg proposto. Proposto 2: The eects o trade lberalzato olgopoly cocde wth that duopoly; except or the oe pure olgopoly wth homogeeous goods. Whe the domestc market creases ts opegs, the tar reducto does ot always brg postve eects o the evromet mxed olgopoly; but, pure olgopoly wth homogeeous goods, the tar reducto s bad or the evromet. 5. Cocludg Remarks Usg the smple lear demad model, part o our dgs are cosstet wth what has bee show La (24) ad Ohor (26), eve though they cosdered all rms producg homogeeous goods. I a teratoal olgopoly market where the evrometal damage s assocated wth cosumpto, the order o optmal evrometal tax parallels the results o the duopoly model rrespectve o the propertes o the goods. I addto, we have show that whe the domestc market creases ts opegs, the tar reducto does ot always brg postve eects o the evromet mxed olgopoly; but, pure olgopoly wth homogeeous goods, the tar reducto s bad or the evromet. 6

8 Appedx A A. Pure Olgopoly wth Homogeeous Goods Uder the Courot-Nash assumpto, we obta the ollowg rst-order codtos, p c t+ pq =, ad (A..) p c t τ + pq =, =,2,...,. (A..2) tot, Havg obtaed the results, we the deretate socal welare equato wth respect δ q q dt δt δq δt δq δt dw δw δw δw = + + = = = q + [ p c + t+ τ ( + ) θ] = p (A..3) The optmal evrometal tax, P * ( + 3) t = [2 ( c 2 c ) ( ) pq ] τ + θ. 2 (A..4) ( + ) ( + ) A.2 Mxed Olgopoly wth Homogeeous Goods Uder the Courot-Nash assumpto, we obta the ollowg rst-order codtos, p c t p q =, ad (A.2.) = p c t τ + pq =, =,2,...,. (A.2.2) The deretatg socal welare equato wth respect to t, t yelds δ q q dt δt δq δt δq δt dw δw δw δw = + + = = ( p c θ ) = p The optmal evrometal tax, t c M c r = θ + (A.2.3) ( ). (A.2.4) + Appedx B We ollow La s (24) basc set-up but assume the lear verse demad ucto s p = a q γ q. Deretatg domestc ad oreg rms total prots wth respect to = ther ow output, we obta the ollowg rst-order codtos, a 2q γ q c t =,ad (B) = 7

9 a q 2γq γ qj c t τ =,, j =,2,...,. j The, the outputs are gve by (B2) DP q = [ a ( + ) c + c + τ t ] ; (B3) + 2 DP q = ( a+ c 2c 2 τ t). (B4) γ ( + 2) The optmal evrometal tax s [(2+ ) c 3 c + ( ) a] DP (3γ 2) t = [ + ] τ + ( ) θ γ + 4+ (B5) I all rms produce homogeeous goods, letτ =, the optmal output ad evrometal tax are P q = [ a ( + ) c + c + τ t ] ; (B6) + 2 P q = ( a+ c 2c 2 τ t) ; (B7) ( + 2) [(2+ ) c 3 c + ( ) a] P t = [ + ] τ + ( ) θ. (B8)

10 Reereces Aderso, K. (992) The Stadard Welare Ecoomcs o Polces Aectg Trade ad the Evromet The Greeg o World Trade Issue by K. Aderso ad R. Blackhurst, Eds., Harvester Wheatshea: New York, Cremer, H., Marchad, M., ad J. F. Thsse (989) The Publc Frm as a Istrumet or Regulatg a Olgopolstc Market Oxord Ecoomc Papers 4, Fjell, K., ad J. Heywood (22) Publc Stackelberg Leadershp a Mxed Olgopoly wth Foreg Frm Australa Ecoomc Papers 4, Fjell, K., ad D. Pal (996) A Mxed Olgopoly the Presece o Foreg Prvate Frms Caada Joural o ecoomcs 29, Krutlla, K. (99) Evrometal Regulato a Ope Ecoomy Joural o Evrometal Ecoomcs ad Maagemet 2, La, Y. B. (24) Trade Lberalzato, Cosumpto Exteraltes ad the Evromet Ecoomcs Bullet 7(5), -9. La, Y. B., ad C. H. Hu (25) Trade Lberalzato ad Trasboudary Polluto Evrometal Ecoomcs ad Polcy Studes 7, -4. Metcale, M. R., ad J. C. Begh (997) Pecemeal Reorm o Trade ad Evrometal Polcy Whe Cosumpto Also Pollutes Workg paper, North Carola State Uversty. Häcker, J. (2) A Note o Prce ad Quatty Competto Deretated Olgopoles Joural o Ecoomc Theory 93, Ohor, S. (26) Trade Lberalzato, Cosumpto Exteraltes ad the Evromet: A Mxed Duopoly Approach Ecoomcs Bullet 7(5), -9. Pal, D., ad M. D. Whte (998) Mxed Olgopoly, Prvatzato, ad Strategc Trade Polcy Souther Ecoomc Joural 65, Sgh, N., ad X. Vves (984) Prce ad Quatty Competto a Deretated Duopoly RAND Joural o Ecoomcs 5, Walz, U., ad D. Wellsch (997) Is Free Trade the Iterest o Exportg Coutres whe There s Ecologcal Dumpg? Joural o Publc Ecoomcs 66,

ANALYSIS OF PRIVATIZATION IN STACKELBERG MIXED OLIGOPOLY

ANALYSIS OF PRIVATIZATION IN STACKELBERG MIXED OLIGOPOLY Koj Okuguch Tokyo Metropolta Uversty Departmet of Ecoomcs, Japa E-mal:kokuguch@m.jcet.jp ANALYSIS OF PRIVATIZATION IN STACKELBERG MIED OLIGOPOLY JEL classfcato: L3, H4 Abstract Mxed olgopoly wth oe welfare-maxmzg

More information

Integrated Reforms of Indirect Taxes in the Presence of Pollution

Integrated Reforms of Indirect Taxes in the Presence of Pollution Itegrated Reforms of Idrect Taxes e Presece of Polluto Mchael S. Mchael, Saal Lahr ad Paos Hatzpaayotou February 2008 Abstract The lterature o drect tax reforms polluto-rdde ecoomes s qute lmted. Ths paper,

More information

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1) Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

Department of Agricultural Economics. PhD Qualifier Examination. August 2011

Department of Agricultural Economics. PhD Qualifier Examination. August 2011 Departmet of Agrcultural Ecoomcs PhD Qualfer Examato August 0 Istructos: The exam cossts of sx questos You must aswer all questos If you eed a assumpto to complete a questo, state the assumpto clearly

More information

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous

More information

CENTRE FOR ECONOMIC RESEARCH WORKING PAPER SERIES

CENTRE FOR ECONOMIC RESEARCH WORKING PAPER SERIES CENTRE FOR ECONOMIC RESEARCH WORKING PAPER SERIES 2001 Mmum Wages for Roald McDoald Moopsoes: A Theory of Moopsostc Competto by V Bhaskar ad Ted To A Commet Frak Walsh, Uversty College Dubl WP01/18 September

More information

UNIVERSITY OF EAST ANGLIA. Main Series UG Examination

UNIVERSITY OF EAST ANGLIA. Main Series UG Examination UNIVERSITY OF EAST ANGLIA School of Ecoomcs Ma Seres UG Examato 03-4 INTRODUCTORY MATHEMATICS AND STATISTICS FOR ECONOMISTS ECO-400Y Tme allowed: 3 hours Aswer ALL questos from both Sectos. Aswer EACH

More information

sets), (iii) differentiable - Nash equilibrium in gifts (i.e., contributions to public good) from consumer i is g i + G = amount of public good

sets), (iii) differentiable - Nash equilibrium in gifts (i.e., contributions to public good) from consumer i is g i + G = amount of public good Prvate Provso o Publc oods Bergstrom, Blume, & Vara. "O the Prvate Provso o Publc oods." Joural o Publc Ecoomcs. Vol. 9, 986, 5-49. BBV - most mportat paper o ths subect; also apples to gvg to ay charty,

More information

Chapter Business Statistics: A First Course Fifth Edition. Learning Objectives. Correlation vs. Regression. In this chapter, you learn:

Chapter Business Statistics: A First Course Fifth Edition. Learning Objectives. Correlation vs. Regression. In this chapter, you learn: Chapter 3 3- Busess Statstcs: A Frst Course Ffth Edto Chapter 2 Correlato ad Smple Lear Regresso Busess Statstcs: A Frst Course, 5e 29 Pretce-Hall, Ic. Chap 2- Learg Objectves I ths chapter, you lear:

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,

More information

ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE

ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE Joural o Mathematcs ad tatstcs 9 (3): 49-55, 03 I: 549-3644 03 cece Publcatos do:0.3844/jmssp.03.49.55 Publshed Ole 9 (3) 03 (http://www.thescpub.com/jmss.toc) ADAPTIVE CLUTER AMPLIG UIG AUXILIARY VARIABLE

More information

Measured Aggregate Gains from International Trade. Ariel Burstein (UCLA and NBER) and Javier Cravino (UCLA) 1. January 2012 Abstract

Measured Aggregate Gains from International Trade. Ariel Burstein (UCLA and NBER) and Javier Cravino (UCLA) 1. January 2012 Abstract Measured Aggregate Gas from Iteratoal Trade Arel Burste (UCLA ad NBER) ad Javer Cravo (UCLA) 1 Jauary 2012 Abstract Do theoretcal welfare gas from trade traslate to aggregate measures of ecoomc actvty?

More information

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model Chapter 3 Asmptotc Theor ad Stochastc Regressors The ature of eplaator varable s assumed to be o-stochastc or fed repeated samples a regresso aalss Such a assumpto s approprate for those epermets whch

More information

New Trade Theory (1979)

New Trade Theory (1979) Ne Trade Theory 979 Ne Trade Theory Krugma, 979: - Ecoomes of scale as reaso for trade - Elas trade betee smlar coutres Ituto of model: There s a trade-off betee ecoomes of scale the roducto of good tyes

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

ECON 5360 Class Notes GMM

ECON 5360 Class Notes GMM ECON 560 Class Notes GMM Geeralzed Method of Momets (GMM) I beg by outlg the classcal method of momets techque (Fsher, 95) ad the proceed to geeralzed method of momets (Hase, 98).. radtoal Method of Momets

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

Statistics MINITAB - Lab 5

Statistics MINITAB - Lab 5 Statstcs 10010 MINITAB - Lab 5 PART I: The Correlato Coeffcet Qute ofte statstcs we are preseted wth data that suggests that a lear relatoshp exsts betwee two varables. For example the plot below s of

More information

ANSWER KEY 7 GAME THEORY, ECON 395

ANSWER KEY 7 GAME THEORY, ECON 395 ANSWER KEY 7 GAME THEORY, ECON 95 PROFESSOR A. JOSEPH GUSE 1 Gbbos.1 Recall the statc Bertrad duopoly wth homogeeous products: the frms ame prces smultaeously; demad for frm s product s a p f p < p j,

More information

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

CIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights

CIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights CIS 800/002 The Algorthmc Foudatos of Data Prvacy October 13, 2011 Lecturer: Aaro Roth Lecture 9 Scrbe: Aaro Roth Database Update Algorthms: Multplcatve Weghts We ll recall aga) some deftos from last tme:

More information

Feature Selection: Part 2. 1 Greedy Algorithms (continued from the last lecture)

Feature Selection: Part 2. 1 Greedy Algorithms (continued from the last lecture) CSE 546: Mache Learg Lecture 6 Feature Selecto: Part 2 Istructor: Sham Kakade Greedy Algorthms (cotued from the last lecture) There are varety of greedy algorthms ad umerous amg covetos for these algorthms.

More information

On Signed Product Cordial Labeling

On Signed Product Cordial Labeling Appled Mathematcs 55-53 do:.436/am..6 Publshed Ole December (http://www.scrp.or/joural/am) O Sed Product Cordal Label Abstract Jayapal Baskar Babujee Shobaa Loaatha Departmet o Mathematcs Aa Uversty Chea

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

X X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then

X X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then Secto 5 Vectors of Radom Varables Whe workg wth several radom varables,,..., to arrage them vector form x, t s ofte coveet We ca the make use of matrx algebra to help us orgaze ad mapulate large umbers

More information

MONOPOLISTIC COMPETITION MODEL

MONOPOLISTIC COMPETITION MODEL MONOPOLISTIC COMPETITION MODEL Key gredets Cosumer utlty: log (/ ) log (taste for varety of dfferetated goods) Produto of dfferetated produts: y (/ b) max[ f, ] (reasg returs/fxed osts) Assume that good,

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

STA302/1001-Fall 2008 Midterm Test October 21, 2008

STA302/1001-Fall 2008 Midterm Test October 21, 2008 STA3/-Fall 8 Mdterm Test October, 8 Last Name: Frst Name: Studet Number: Erolled (Crcle oe) STA3 STA INSTRUCTIONS Tme allowed: hour 45 mutes Ads allowed: A o-programmable calculator A table of values from

More information

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION

More information

Wu-Hausman Test: But if X and ε are independent, βˆ. ECON 324 Page 1

Wu-Hausman Test: But if X and ε are independent, βˆ. ECON 324 Page 1 Wu-Hausma Test: Detectg Falure of E( ε X ) Caot drectly test ths assumpto because lack ubased estmator of ε ad the OLS resduals wll be orthogoal to X, by costructo as ca be see from the momet codto X'

More information

Chapter 5. Curve fitting

Chapter 5. Curve fitting Chapter 5 Curve ttg Assgmet please use ecell Gve the data elow use least squares regresso to t a a straght le a power equato c a saturato-growthrate equato ad d a paraola. Fd the r value ad justy whch

More information

Multi Objective Fuzzy Inventory Model with. Demand Dependent Unit Cost and Lead Time. Constraints A Karush Kuhn Tucker Conditions.

Multi Objective Fuzzy Inventory Model with. Demand Dependent Unit Cost and Lead Time. Constraints A Karush Kuhn Tucker Conditions. It. Joural of Math. Aalyss, Vol. 8, 204, o. 4, 87-93 HIKARI Ltd, www.m-hkar.com http://dx.do.org/0.2988/jma.204.30252 Mult Objectve Fuzzy Ivetory Model wth Demad Depedet Ut Cost ad Lead Tme Costrats A

More information

A Theoretical Analysis for Sustainability Function of SRI. Fund Organizations : A Sustainable Framework of

A Theoretical Analysis for Sustainability Function of SRI. Fund Organizations : A Sustainable Framework of A Theoretcal Aalyss for Sustaablty Fucto of SRI Fud Orgazatos : A Sustaable Framework of Lodo Mechasm Hroshge TANAKA Professor of Faculty of Ecoomcs, Chou Uversty, Hgashakao 74-,Hachoj-cty, Tokyo 9-0393,

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

Likewise, properties of the optimal policy for equipment replacement & maintenance problems can be used to reduce the computation.

Likewise, properties of the optimal policy for equipment replacement & maintenance problems can be used to reduce the computation. Whe solvg a vetory repleshmet problem usg a MDP model, kowg that the optmal polcy s of the form (s,s) ca reduce the computatoal burde. That s, f t s optmal to replesh the vetory whe the vetory level s,

More information

Multiple Linear Regression Analysis

Multiple Linear Regression Analysis LINEA EGESSION ANALYSIS MODULE III Lecture - 4 Multple Lear egresso Aalyss Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur Cofdece terval estmato The cofdece tervals multple

More information

Internationa1 l Trade

Internationa1 l Trade 14.581 Iteratoa1 l Trade Class otes o 2/13/213 1 Eato ad Kortum (22) 1.1 Basc Assumptos N coutres, 1; :::; N Cotuum of goods u 2 [; 1] Prefereces are CES wth elastcty of substtuto : Z U Oe factor of producto

More information

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

More information

Research in Economics

Research in Economics Researc Ecoomcs 69 (2015) 132 156 Cotets lsts avalable at SceceDrect Researc Ecoomcs joural omepage: www.elsever.com/locate/re Delocato ad trade agreemets mperectly compettve markets Kyle Bagwell a,b,,

More information

A New Family of Transformations for Lifetime Data

A New Family of Transformations for Lifetime Data Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several

More information

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model Lecture 7. Cofdece Itervals ad Hypothess Tests the Smple CLR Model I lecture 6 we troduced the Classcal Lear Regresso (CLR) model that s the radom expermet of whch the data Y,,, K, are the outcomes. The

More information

Monopolistic Location Choice in Two-Sided Industries

Monopolistic Location Choice in Two-Sided Industries MPRA Much Persoal RePEc Archve Moopolstc Locato Choce Two-Sded Idustres Erco Böhme ad Chrstopher Müller 5 October 0 Ole at https://mpraubu-muechede/476/ MPRA Paper No 476 posted 7 October 0 5:56 UTC Moopolstc

More information

Correlation and Regression Analysis

Correlation and Regression Analysis Chapter V Correlato ad Regresso Aalss R. 5.. So far we have cosdered ol uvarate dstrbutos. Ma a tme, however, we come across problems whch volve two or more varables. Ths wll be the subject matter of the

More information

Median as a Weighted Arithmetic Mean of All Sample Observations

Median as a Weighted Arithmetic Mean of All Sample Observations Meda as a Weghted Arthmetc Mea of All Sample Observatos SK Mshra Dept. of Ecoomcs NEHU, Shllog (Ida). Itroducto: Iumerably may textbooks Statstcs explctly meto that oe of the weakesses (or propertes) of

More information

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl

More information

ε. Therefore, the estimate

ε. Therefore, the estimate Suggested Aswers, Problem Set 3 ECON 333 Da Hugerma. Ths s ot a very good dea. We kow from the secod FOC problem b) that ( ) SSE / = y x x = ( ) Whch ca be reduced to read y x x = ε x = ( ) The OLS model

More information

1. The weight of six Golden Retrievers is 66, 61, 70, 67, 92 and 66 pounds. The weight of six Labrador Retrievers is 54, 60, 72, 78, 84 and 67.

1. The weight of six Golden Retrievers is 66, 61, 70, 67, 92 and 66 pounds. The weight of six Labrador Retrievers is 54, 60, 72, 78, 84 and 67. Ecoomcs 3 Itroducto to Ecoometrcs Sprg 004 Professor Dobk Name Studet ID Frst Mdterm Exam You must aswer all the questos. The exam s closed book ad closed otes. You may use your calculators but please

More information

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

A Study on Generalized Generalized Quasi hyperbolic Kac Moody algebra QHGGH of rank 10

A Study on Generalized Generalized Quasi hyperbolic Kac Moody algebra QHGGH of rank 10 Global Joural of Mathematcal Sceces: Theory ad Practcal. ISSN 974-3 Volume 9, Number 3 (7), pp. 43-4 Iteratoal Research Publcato House http://www.rphouse.com A Study o Geeralzed Geeralzed Quas (9) hyperbolc

More information

Data Processing Techniques

Data Processing Techniques Uverstas Gadjah Mada Departmet o Cvl ad Evrometal Egeerg Master o Egeerg Natural Dsaster Maagemet Data Processg Techques Curve Fttg: Regresso ad Iterpolato 3Oct7 Curve Fttg Reerece Chapra, S.C., Caale

More information

TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM.

TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM. Abbas Iraq Joural of SceceVol 53No 12012 Pp. 125-129 TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM. Iraq Tarq Abbas Departemet of Mathematc College

More information

Lecture 3. Sampling, sampling distributions, and parameter estimation

Lecture 3. Sampling, sampling distributions, and parameter estimation Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called

More information

Journal of Chemical and Pharmaceutical Research, 2014, 6(7): Research Article

Journal of Chemical and Pharmaceutical Research, 2014, 6(7): Research Article Avalable ole www.jocpr.com Joural of Chemcal ad Pharmaceutcal Research, 04, 6(7):4-47 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Predcto of CNG automoble owershp by usg the combed model Ku Huag,

More information

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract Numercal Smulatos of the Complex Moded Korteweg-de Vres Equato Thab R. Taha Computer Scece Departmet The Uversty of Georga Athes, GA 002 USA Tel 0-542-2911 e-mal thab@cs.uga.edu Abstract I ths paper mplemetatos

More information

Bounds for the Connective Eccentric Index

Bounds for the Connective Eccentric Index It. J. Cotemp. Math. Sceces, Vol. 7, 0, o. 44, 6-66 Bouds for the Coectve Eccetrc Idex Nlaja De Departmet of Basc Scece, Humates ad Socal Scece (Mathematcs Calcutta Isttute of Egeerg ad Maagemet Kolkata,

More information

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations HP 30S Statstcs Averages ad Stadard Devatos Average ad Stadard Devato Practce Fdg Averages ad Stadard Devatos HP 30S Statstcs Averages ad Stadard Devatos Average ad stadard devato The HP 30S provdes several

More information

Chapter 3 Sampling For Proportions and Percentages

Chapter 3 Sampling For Proportions and Percentages Chapter 3 Samplg For Proportos ad Percetages I may stuatos, the characterstc uder study o whch the observatos are collected are qualtatve ature For example, the resposes of customers may marketg surveys

More information

A Class of Deformed Hyperbolic Secant Distributions Using Two Parametric Functions. S. A. El-Shehawy

A Class of Deformed Hyperbolic Secant Distributions Using Two Parametric Functions. S. A. El-Shehawy A Class o Deormed Hyperbolc Secat Dstrbutos Usg Two Parametrc Fuctos S. A. El-Shehawy Departmet o Mathematcs Faculty o Scece Meoua Uversty Sheb El-om Egypt shshehawy6@yahoo.com Abstract: Ths paper presets

More information

18.413: Error Correcting Codes Lab March 2, Lecture 8

18.413: Error Correcting Codes Lab March 2, Lecture 8 18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse

More information

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen. .5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely

More information

Chapter 8. Inferences about More Than Two Population Central Values

Chapter 8. Inferences about More Than Two Population Central Values Chapter 8. Ifereces about More Tha Two Populato Cetral Values Case tudy: Effect of Tmg of the Treatmet of Port-We tas wth Lasers ) To vestgate whether treatmet at a youg age would yeld better results tha

More information

Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates

Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates Joural of Moder Appled Statstcal Methods Volume Issue Artcle 8 --03 Comparso of Parameters of Logormal Dstrbuto Based O the Classcal ad Posteror Estmates Raja Sulta Uversty of Kashmr, Sragar, Ida, hamzasulta8@yahoo.com

More information

Optimality Conditions for Distributive Justice

Optimality Conditions for Distributive Justice Optmalty Codtos for Dstrbutve Justce Joh Hooker Carege Mello Uversty Aprl 2008 1 Just Dstrbuto The problem: How to dstrbute resources Tax breaks Medcal care Salares Educato Govermet beefts 2 Justce ad

More information

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar

More information

Chapter 4 Multiple Random Variables

Chapter 4 Multiple Random Variables Revew for the prevous lecture: Theorems ad Examples: How to obta the pmf (pdf) of U = g (, Y) ad V = g (, Y) Chapter 4 Multple Radom Varables Chapter 44 Herarchcal Models ad Mxture Dstrbutos Examples:

More information

Logistic regression (continued)

Logistic regression (continued) STAT562 page 138 Logstc regresso (cotued) Suppose we ow cosder more complex models to descrbe the relatoshp betwee a categorcal respose varable (Y) that takes o two (2) possble outcomes ad a set of p explaatory

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

n -dimensional vectors follow naturally from the one

n -dimensional vectors follow naturally from the one B. Vectors ad sets B. Vectors Ecoomsts study ecoomc pheomea by buldg hghly stylzed models. Uderstadg ad makg use of almost all such models requres a hgh comfort level wth some key mathematcal sklls. I

More information

Economic Impact of the Changes in Energy Prices

Economic Impact of the Changes in Energy Prices Workg paper for SRI project Ecoomc Impact of the Chages Eergy Prces 998.2. Youg-Seok Moo Korea Eergy Ecoomcs Isttute Yag-Hoo So Uversty of Icho Suduk Km Hoseo Uversty Ths paper s sposored by the project

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto

More information

Application of Calibration Approach for Regression Coefficient Estimation under Two-stage Sampling Design

Application of Calibration Approach for Regression Coefficient Estimation under Two-stage Sampling Design Authors: Pradp Basak, Kaustav Adtya, Hukum Chadra ad U.C. Sud Applcato of Calbrato Approach for Regresso Coeffcet Estmato uder Two-stage Samplg Desg Pradp Basak, Kaustav Adtya, Hukum Chadra ad U.C. Sud

More information

Bayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information

Bayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information Malaysa Joural of Mathematcal Sceces (): 97- (9) Bayes Estmator for Expoetal Dstrbuto wth Exteso of Jeffery Pror Iformato Hadeel Salm Al-Kutub ad Noor Akma Ibrahm Isttute for Mathematcal Research, Uverst

More information

Bias Correction in Estimation of the Population Correlation Coefficient

Bias Correction in Estimation of the Population Correlation Coefficient Kasetsart J. (Nat. Sc.) 47 : 453-459 (3) Bas Correcto Estmato of the opulato Correlato Coeffcet Juthaphor Ssomboothog ABSTRACT A estmator of the populato correlato coeffcet of two varables for a bvarate

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

ECONOMETRIC THEORY. MODULE VIII Lecture - 26 Heteroskedasticity

ECONOMETRIC THEORY. MODULE VIII Lecture - 26 Heteroskedasticity ECONOMETRIC THEORY MODULE VIII Lecture - 6 Heteroskedastcty Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur . Breusch Paga test Ths test ca be appled whe the replcated data

More information

Chapter 14 Logistic Regression Models

Chapter 14 Logistic Regression Models Chapter 4 Logstc Regresso Models I the lear regresso model X β + ε, there are two types of varables explaatory varables X, X,, X k ad study varable y These varables ca be measured o a cotuous scale as

More information

Statistical modelling and latent variables (2)

Statistical modelling and latent variables (2) Statstcal modellg ad latet varables (2 Mxg latet varables ad parameters statstcal erece Trod Reta (Dvso o statstcs ad surace mathematcs, Departmet o Mathematcs, Uversty o Oslo State spaces We typcally

More information

Chapter 13, Part A Analysis of Variance and Experimental Design. Introduction to Analysis of Variance. Introduction to Analysis of Variance

Chapter 13, Part A Analysis of Variance and Experimental Design. Introduction to Analysis of Variance. Introduction to Analysis of Variance Chapter, Part A Aalyss of Varace ad Epermetal Desg Itroducto to Aalyss of Varace Aalyss of Varace: Testg for the Equalty of Populato Meas Multple Comparso Procedures Itroducto to Aalyss of Varace Aalyss

More information

Midterm Exam 1, section 2 (Solution) Thursday, February hour, 15 minutes

Midterm Exam 1, section 2 (Solution) Thursday, February hour, 15 minutes coometrcs, CON Sa Fracsco State Uverst Mchael Bar Sprg 5 Mdterm xam, secto Soluto Thursda, Februar 6 hour, 5 mutes Name: Istructos. Ths s closed book, closed otes exam.. No calculators of a kd are allowed..

More information

Notes on the proof of direct sum for linear subspace

Notes on the proof of direct sum for linear subspace Notes o the proof of drect sum for lear subspace Da u, Qa Guo, Huzhou Xag, B uo, Zhoghua Ta, Jgbo Xa* College of scece, Huazhog Agrcultural Uversty, Wuha, Hube, Cha * Correspodece should be addressed to

More information

9.1 Introduction to the probit and logit models

9.1 Introduction to the probit and logit models EC3000 Ecoometrcs Lecture 9 Probt & Logt Aalss 9. Itroducto to the probt ad logt models 9. The logt model 9.3 The probt model Appedx 9. Itroducto to the probt ad logt models These models are used regressos

More information

CHAPTER VI Statistical Analysis of Experimental Data

CHAPTER VI Statistical Analysis of Experimental Data Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca

More information

7.0 Equality Contraints: Lagrange Multipliers

7.0 Equality Contraints: Lagrange Multipliers Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean Research Joural of Mathematcal ad Statstcal Sceces ISS 30 6047 Vol. 1(), 5-1, ovember (013) Res. J. Mathematcal ad Statstcal Sc. Comparso of Dual to Rato-Cum-Product Estmators of Populato Mea Abstract

More information

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON430 Statstcs Date of exam: Frday, December 8, 07 Grades are gve: Jauary 4, 08 Tme for exam: 0900 am 00 oo The problem set covers 5 pages Resources allowed:

More information

Arithmetic Mean and Geometric Mean

Arithmetic Mean and Geometric Mean Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,

More information

Laboratory I.10 It All Adds Up

Laboratory I.10 It All Adds Up Laboratory I. It All Adds Up Goals The studet wll work wth Rema sums ad evaluate them usg Derve. The studet wll see applcatos of tegrals as accumulatos of chages. The studet wll revew curve fttg sklls.

More information

12.2 Estimating Model parameters Assumptions: ox and y are related according to the simple linear regression model

12.2 Estimating Model parameters Assumptions: ox and y are related according to the simple linear regression model 1. Estmatg Model parameters Assumptos: ox ad y are related accordg to the smple lear regresso model (The lear regresso model s the model that says that x ad y are related a lear fasho, but the observed

More information

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte

More information

Bayes Interval Estimation for binomial proportion and difference of two binomial proportions with Simulation Study

Bayes Interval Estimation for binomial proportion and difference of two binomial proportions with Simulation Study IJIEST Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue 5, July 04. Bayes Iterval Estmato for bomal proporto ad dfferece of two bomal proportos wth Smulato Study Masoud Gaj, Solmaz hlmad

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information