Productivity changes of units: A directional measure of cost Malmquist index

Size: px
Start display at page:

Download "Productivity changes of units: A directional measure of cost Malmquist index"

Transcription

1 Available nline a hp://jnrm.srbiau.ac.ir Vl.1, N.2, Summer 2015 Jurnal f New Researches in Mahemaics Science and Research Branch (IAU Prduciviy changes f unis: A direcinal measure f cs Malmquis index G. Thidi a *, S. Thidnia b (a,b Deparmen f Mahemaics, Cenral Tehran Branch, Islamic Azad Universiy, Tehran, Iran Received Spring 2015, Acceped Summer 2015 Absrac This sudy examines he prduciviy changes f decisin making unis in siuain where inpu price vecrs are varying beween hem and inpus are heergeneus; ha is a nncmpeiive marke. We presen a direcinal measure f cs Malmquis prduciviy index where incrpraes he decisin maker's preference ver prduciviy change ver ime. A simple numerical example is designed illusrae he new measure f he cs Malmquis index. Keywrds: Daa envelpmen analysis; direcinal measure; prfi efficiency; prduciviy change; cs Malmquis index *Crrespnding auhr: ghahidi@yah.cm (gh_hidi@iaucb.ac.ir

2 G. Thidi, e al /JNRM Vl.1, N.2, Summer Inrducin The prduciviy change ver ime is an impran subjec fr decisin making unis (DMUs. Daa envelpmen analysis (DEA can be applied as a nn-parameric apprach in sudying he prduciviy change and is decmpsiin. DEA fr he firs ime was develped by Charnes e al. (1978 and has been used s far in many lieraures ha fcus n he efficiency and prduciviy f DMUs. Fr example, Berger (2007, Sahye (2003, Cli e al. (2011, Bruni e al. (2011. The mehd is als applied cmpue he Malmquis index ha is used fr evaluaing he prduciviy changes f DMUs ver ime. Caves e al. (1982 defined he Malmquis index based n efficiency scre fr he firs ime and hen Färe e al. (1989 decmpsed he index in efficiency and echnical change. Malmquis index is exended in differen ways. Fr insance, Chen (2003 presened he nn-radial Malmquis index and develped a nnradial DEA mdel fr cmpuing i. Arabi e al. (2015 as well as used a slacks-based measure (SBM mdel cmpue he prduciviy change f DMUs in he presence f undesirable upus. Maniadakis and Thanassulis (2004 exended he index he cs Malmquis (CM index fr he case where he prices f he inpus are knwn. They used he Farrell cs efficiency in definiin f he index. See als Prela and Thanassulis (2010, Thidi e al. (2010 fr her applicains f Malmquis index. The cs efficiency (CE measure used by Maniadakis and Thanassulis (2004 in definiin f CM index can be applied when inpus are hmgenus and he prices are exgenusly fixed. Thus, he CE measure nly incrpraes he inpu inefficiency and he cnribuin f inefficiency ha is made by marke prices (marke inefficiency is n cnsidered. T slve hese prblems he alernae CE mdel was presened in Tne (2002 by cnsidering he prducin echnlgy in a cs/inpu space. Fllwing he presened CE measure, Fukuyama and Weber (2004 and Färe and Grsskpf (2006 develped a direcinal inpu-cs disance funcin and herefre a direcinal measure f value-based echnical inefficiency. This measure was exended in Sah e al. (2014. They develped a direcinal value-based measure f echnical efficiency and als a direcinal cs-based measure f efficiency which saisfied he prperies: ranslain invarian, uni invarian and srng mnnciy. In his paper we esimae a direcinal measure f cs Malmquis index (DCM

3 Prduciviy changes f unis: A direcinal measure f cs Malmquis index 57 based n he cs and echnical efficiency measure presened in Sah e al. (2014, in rder examine he prduciviy changes f unis in siuain where DMUs ac in a nn-cmpeiive marke ha inpus are heergeneus and DMUs can cnrl sme exen he marke prices. In fac, when he inpu price vecrs f DMUs are differen because f he differen cmpeiive envirnmens, cmparing he prduciviy changes f DMUs can n be righ. Using he prpsed index he envirnmenal facrs can be incrpraed in he cmparisn beween DMUs. In addiin, DMUs can cnrl heir prduciviy changes by cnsidering he suiable direcin vecr. The res f paper prceeds as fllws. Secin 2 expresses he previus sudies n efficiency and prduciviy change when inpu prices are knwn. Secin 3 develps a cs Malmquis index fr evaluaing DMUs in a nn-cmpeiive marke. In secin 4 we design a simple numerical example shw he applicain f he prpsed apprach and Secin 5 cncludes. 2. Cs Malmquis prduciviy index Suppse ha here are n DMUs, bserved in ime perid ( 1,, T, each DMU j ( j =1,, n cnsumes a nn- negaive inpu vecr x j ( x 1 j,, x mj wih he price vecr c j ( c1 j,, c mj prduce a nn-negaive upu vecr y,, y. Farrell (1957 defined j 1 j sj he cs efficiency f a DMU as he rai f minimum cs f prducin he bserved cs. This definiin f cs efficiency requires ha he inpu prices be fixed and he exac infrmain f hem is a hand. By using he cncep f Farrell's cs efficiency, Maniadakis and Thanassulis (2004 presened he cs Malmquis prduciviy index, which evaluaes he prduciviy change f DMUs beween ime perids and 1in he case where he inpu price vecr is knwn. They assumed ha all DMUs face he same inpu price vecrs. Cnsider c c1 c m (,, as he inpu price vecr f perid ( c c, j, and define he j prducin echnlgy f perid as T = {(x, y R : x R canprduce y R } (1 The Farrell cs efficiency measure fr ( x, y, bserved in perid, under he inpu price vecr c is defined as C, c CE, x, c, (2 c x

4 G. Thidi, e al /JNRM Vl.1, N.2, Summer Where C, c is he minimum prducin cs and cs f prducing c x is he bserved y. C, c can be bained by slving he fllwing linear prgramming mdel: m i i i 1 C, c min c x, (3 J s.. x x, i 1,, m, j 1 J j 1 j ij i y y, r 1,, s, j rj r 0, j 1,, J, j x 0, i 1,, m. i Based n he cs efficiency defined in (2, and by cnsidering ime perid as he reference perid, he cs Malmquis prduciviy index ( CM is (Maniadakis and Thanassulis, 2004: c x C, c CM. (4 CM 1 1 c x C, c 1 1 ( x, y cmpares he cs efficiency f, under evaluain DMU bserved in ime perid 1, ha f ( x, y by measuring heir disances frm he cs bundary f perid as a benchmark, where he cs bundary is defined as Is C, c x : c x C, c. (5 Similarly, 1 CM index can be defined based n he cs bundary f perid 1 as a benchmark, w x C, w (6 w x C, w CM CM 1 1 ( x, y cmpares he cs efficiency f ha f ( x, y by measuring heir disances frm he cs bundary f perid 1. Because w indexes CM and CM 1 may prvide differen measures f prduciviy change (he disances are cmpued based n differen benchmarks, Maniadakis and Thanassulis (2004 defined he CM index as he gemeric mean f hese w indexes as fllws: If he CM, (, = w x /C (y, w / w x /C (y, w w x /C (y, w (7 CM index has a value less han 1, prduciviy prgress, a value greaer han 1 means ha prduciviy regress and a value f 1 means ha prduciviy remains unchanged. Using he CM index examine he prduciviy change f DMUs, hey culd incrprae allcaive efficiency in he measuremen f prduciviy change. They

5 Prduciviy changes f unis: A direcinal measure f cs Malmquis index 59 decmpsed he presened index in cs efficiency and cs echnical change. In addiin, hey decmpsed each f hese cmpnens in w cmpnens. Cs efficiency was decmpsed in echnical and allcaive efficiency change, and cs echnical change in a par capuring shifs f inpu quaniies and shifs f inpu prices. Farrell's CE mdel used fr cmpuing he CM index requires ha he inpu price vecr f DMUs are fixed and exgenusly given. In fac, his mdel is applied fr evaluaing he cs efficiency f DMUs in a cmpeiive marke. In ms f he real applicain, we deal wih he cases where he marke is n fully cmpeiive and inpu prices may vary beween DMUs. In such siuain Farrell CE measure can n reflec he marke inefficiency. In he nex secin we sugges a direcinal cs Malmquis index fr use in siuains where DMUs peraes in a nncmpeiive marke characerized by heergeneus inpus. 3. A direcinal measure f cs Malmquis index Cs efficiency measure and cs Malmquis index discussed in he frmer secin can be applied fr he case where DMUs are hmgenus and inpu prices are exgenusly fixed (ha is DMUs are price aker. T esimae he cs efficiency f DMUs in nn-cmpeiive marke, Sah e al. (2014 develped a direcinal cs based measure f efficiency (DCE and als direcinal value based measure f echnical efficiency (TE which saisfy hree impran prperies, ranslain invariance, srng mnniciy and uni invariance if he unis f measuremen fr each cmpnen f he seleced direcin vecr g ( g, g, s g ( g, g,, g, g 0 R, be he x 1 2 m same as ha f ih inpu-cs, y x i x y. They assumed ha inpus are heergeneus and heir prices vary acrss DMUs. In rder incrprae hese assumpins in he mdel, hey defined he prducin echnlgy as T = {(x, y R : x R can prduce (8 y R } where x c x. Their presened mdel evaluae he DCE measure f DMU bserved in perid based n he prducin echnlgy f perid is as fllws: DCE (y, x min 1 g G β,

6 G. Thidi, e al /JNRM Vl.1, N.2, Summer λ x x β, g, i = 1,, m λ y y, r = 1,, s (9 λ = 1, λ 0, j = 1,, n Where G m g and guaranee i 1 ix ha DCE, x 1, he direcin vecr g mus saisfy he fllwing cndiin: x i min x ij j 1, n max 1. g ix i 1, m (7 Similarly, he DCE measure f DMU bserved in ime perid 1 wih respec he echnlgy f perid 1is, DCE (y, x min 1 g G β λ, x x β, g, i = 1,, m λ y y, r = 1,, s (11 n λ j = 1, λ j 0, j = 1,, n j1 T measure mdify DCE and DCE 1,, we Errr! Reference surce n fund. in he fllwing mdels, respecively: DCE (y, x min 1 g G β λ x, x β, g, i = 1,, m λ y y, r = 1,, s (12 λ = 1, λ 0, j = 1,, n DCE (y, x min 1 g G β λ, x x β, g, i = 1,, m λ y y, r = 1,, s (13 λ = 1, λ 0, j = 1,, n Nw, we define he direcinal cs Malmquis (DCM prduciviy index f, 1and heir gemeric mean respecively as fllws: 1 1 DCE, x DCE, x DCE, x 1 DCE, x DCM, (8 DCM, (9 DCM, = If he,, (, / (16 (, DCM index has a value less han 1, prduciviy regress, a value greaer han 1 means ha prduciviy prgress and a value f 1 means ha prduciviy remains unchanged. The prpsed prduciviy index Errr! Reference surce n fund. is incrpraed wih he decisin maker's preferences. Therefre, imprve he prduciviy f DMUs decisin makers can selec a specific direcin vecr. In fac,

7 Prduciviy changes f unis: A direcinal measure f cs Malmquis index 61 he prduciviy change f DMUs can be measured based n heir specific direcin vecr. In addiin, he measure f prduciviy change bained frm Errr! Reference surce n fund. is ranslain invarian and can be used in siuains dealing wih negaive daa Decmpsiin f he prpsed index Nw, we decmpse he DCM index illusrae hw he index includes direcinal echnical and allcaive efficiency changes, shif f he prducin bundary beween perids and 1, and als he effec f inpu price change n he prduciviy change f DMU beween ime perids and 1. The decmpsiin is similar he decmpsiin f CM index presened in Maniadakis and Thanassulis (2004. In he firs sage, DCM index can be decmpsed in verall (cs efficiency change (OEC and cs echnical change (CTC as fllws: DCM, = DCE (y, x DCE (y, x DCE (y, x DCE (y, x / DCE (y, x DCE (y, x OEC cmpnen examine wheher he bserved cs f prducing he given (17 upu vecr, m i 1 x i, caches up he minimum cs f prducing i frm perid perid 1. Using he pimal sluin f mdel Errr! Reference surce n fund., he minimum cs f prducing calculaed as, m m *, * x i x i i g ix i 1 i 1 y can be (. (10 Similarly, he minimum cs f prducing 1 y can be calculaed by he pimal sluin f mdel Errr! Reference surce n fund.. CTC cmpnen cmpares he minimum cs f prducing he given upu vecr bserved in perid wih ha f perid 1. In he secnd sage f he decmpsiin f DCM index, each cmpnen bained in sage 1 can be furher decmpsed in w cmpnens. OEC cmpnen is decmpsed as OEC = 1 β, 1 β, DCE (y, x /(1 β, DCE (y, x /(1 β, = TEC AEC (19 ha, is he pssible echnical imprvemen f he cmpnens f inpu-

8 G. Thidi, e al /JNRM Vl.1, N.2, Summer spending x (direcinal value-based measure f echnical inefficiency. The value f, can be cmpued by he pimal sluin f mdel Errr! Reference surce n fund. as fllws:, g, 1 min 1 min.(11 m, ix i i i 1,, m i 1,, m i 1 G, can be calculaed als by slving he fllwing mdel direcly: β, = max, β, λ x x λ y (21 β, g, i = 1,, m y, r = 1,, s λ = 1, λ 0, j = 1,, n Similarly, 1, 1 can be calculaed by he pimal sluin f mdel Errr! Reference surce n fund., r direcly by slving mdel Errr! Reference surce n fund. afer replacing ime wih ime 1. The cmpnen CTC bained in he firs sage f decmpsiin can be decmpsed in TC and PE cmpnens as fllws: CTC / = 1 β, 1 β, 1 β, 1 β, DCE (y, x /(1 β, DCE (y, x /(1 β, DCE (y, x /(1 β, DCE (y, x /(1 β, = TC PE / (12, 1 The value f can be calculaed by he pimal sluin f mdel Errr! Reference surce n fund. as m, 1, 1, 1 g ix 1 min i 1 min i i 1,, m G i 1,, m i 1 r slving he fllwing mdel direcly: β, = max, β, λ x x β, g, i = 1,, m λ y y, r = 1,, s (23 λ = 1, λ 0, j = 1,, n The value f similar perids and 1. 1, can be esimaed, 1 afer changing rund he TC cmpnen esimaes he shif f he prducin bundary frm perid perid 1. PE cmpnen esimaes he effec f inpu price changes n changes f he minimum cs f prducing he given upu vecr. Fr each f he cmpnens f he DCM index, a value less han 1 indicaes regress, a value greaer 1

9 Prduciviy changes f unis: A direcinal measure f cs Malmquis index 63 indicaes prgress and a value f 1 express he perfrmance remains unchanged. 4. Numerical example In rder illusrae he abiliy f he prpsed apprach we have analyzed 5 DMUs wih w inpus and w upus. Table 1 shws he inpu/upu daa and he inpu price vecrs fr 5 DMUs bserved in w ime perids 0 and 1. We apply he index Errr! Reference surce n fund. and als he index Errr! Reference surce n fund. evaluae he prduciviy changes f DMUs beween perids 0 and 1. We cmpue he index Errr! Reference surce n fund. by cnsidering w direcin vecrs as g = g, g, g = x, g = 0, i = 1,, m, r = 1,, s (24 g = g, g, g = max,, x, g = 0, i = 1,, m, r = 1,, s (25 Ne ha in perid 2 DMU1 increases is inpu quaniies and simulaneusly decreases is upu quaniies while he inpu prices vecr remains unchanged frm ime 0 ime1. Therefre we expec ha prduciviy f DMU1 regress frm ime 0 ime1. I can als be derived frm Tables 6 and 7. These Tables respecively shw he resuls bained frm he indexes Errr! Reference surce n fund. and Errr! Reference surce n fund.. Tw indexes repr a regress in prduciviy fr DMU1. Frm he resuls f Table 3 i can be seen ha he amun f regress in prduciviy bained frm selecing he direcin vecr Errr! Reference surce n fund. is mre han ha f he direcin Errr! Reference surce n fund.. I means ha, DCM he decisin maker's preferences. is incrpraed wih Nw cnsider DMU5 as DMU under evaluain. This DMU imprves is upus wihu any changes in is inpus quaniies and prices. Thus we expec ha is prduciviy imprves frm ime 0 ime 1. Table 1. Numerical example daa =0 =1 MU I1 I2 C1 C2 O1 O2 I1 I2 C1 C2 O1 O2 DMU DMU DMU DMU DMU

10 G. Thidi, e al /JNRM Vl.1, N.2, Summer I can be seen ha frm Tables 2 and 3, he indexes CM and DCM differen resuls fr DMU5. The prvide he CM index shws a regress in he prduciviy while he DCM index reprs an imprvemen fr he prduciviy change beween w ime perids. In addiin, he value f direcin DCM bained based n vecr Errr! Reference surce n fund. indicaes higher prduciviy grwh han he vecr DCM index based n direcin Errr! Reference surce n fund.. Therefre, i seems ha he resuls bained frm he reasnable han ha f he DCM index are mre CM index. The resuls fr he her DMUs and als he value f he DCM index cmpnens can be inerpreed similarly. In a nn-cmpeiive marke characerized by heergeneus inpus where DMUs have he abiliy influence smewha he marke prices, he envirnmenal facrs may affec n decisins f DMUS in specifying heir inpu price vecrs. In such siuains he bained resuls f cmparing he prduciviy changes f DMUs using he cs Malmquis index presened in Maniadakis and Thanassulis (2004 can n be righ. In The curren sudy we assumed ha he inpu prices are varying beween DMUs and esimaed a direcinal measure f cs Malmquis index by cnsidering he affecs f hese envirnmenal facrs n he prduciviy changes ver ime. Als, using he new cs malmquis index, decisin maker's preference can be incrpraed in he prduciviy changes f unis by selecing he suiable direcin vecr. 5. Cnclusin Table 2. The resuls f CM index DMU DMU1 DMU2 DMU3 DMU4 DMU5 CM 0, Table 3. The resuls f DCM index Direcin vecr 1 Direcin vecr 2 Decmpsiin f DCM index Decmpsiin f DCM index DMU DCM 0,1 TEC AEC TC PE DCM 0,1 TEC AEC TC PE DMU DMU DMU DMU DMU

11 Prduciviy changes f unis: A direcinal measure f cs Malmquis index 65 References Arabi, B., Munisamy, S., Emruznejad, A., A new slacks-based measure f Malmquis-Luenberger index in he presence f undesirable upus. Omega, 51, Berger, A. N., Inernainal cmparisns f banking efficiency. Financial Markes, Insiuin and Insrumens Bruni, M., Guerrier, F., Paiucci, V., Benchmarking susainable develpmen via daa envelpmen analysis: an Ialian case sudy. Inernainal Jurnal f Envirnmenal Research, 5(1, Charnes, A., Cper, W. W., Rhdes, E., Measuring he efficiency f decisin making unis. Eurpean Jurnal f Operainal Research, 2, Chen, Y., A nn-radial Malmquis prduciviy index wih an illusraive applicain Chinese majr indusries. Inernainal Jurnal f Prducin Ecnmics, 83, Cli, M., Nissi, N., Rappselli, A., Efficiency evaluain in an airline cmpany: sme empirical resuls. Jurnal f applied sciences1(4, Färe, R., Grsskpf, S., Reslving a srange case f efficiency. Jurnal f he Operainal Research Sciey, Färe, R., Grsskpf, S., Lindgren, B., Rs, P Prduciviy develpmens in Swedish hspials: A Malmquis upu index apprach. Discussin Paper n. 89-3, Suhern Illinis Universiy, Illinis, USA. Farrell, M.G.957. The measuremen f prducive efficiency. Jurnal f he Ryal Saisical Sciey, Series A, General 120, Fukuyama, H., Weber, W.L., Ecnmic inefficiency measuremen f inpu spending when decisin-making unis face differen inpu prices. Jurnal f he Operainal Research Sciey, 55, Maniadakis, N., Thanassulis, E., A cs Malmquis prduciviy index. Eurpean Jurnal f Operainal Research 154, Prela, M. C. A. S., Thanassulis, E., Malmquis-ype indices in he presence f negaive daa: An applicain bank branches. Jurnal f banking & Finance, Sah, B. K., Mehdilzad, M., Tne, k., Cs, revenue and prfi efficiency measuremen in DEA: A direcinal disance funcin apprach. Eurpean

12 G. Thidi, e al /JNRM Vl.1, N.2, Summer Jurnal f Operainal Research, 237, Sahye, M., Efficiency f banks in a develping ecnmy: he case f India. Eurpean Jurnal f Operainal Research, 148, Thidi, G., Razavyan, S., Thidnia, S., A prfi Malmquis prduciviy index. Jurnal f Indusrial Engineering Inernainal, 6, Tne, K., A srange case f he cs and allcaive efficiencies in DEA. Jurnal f he Operainal Research Sciey, 53,

GAMS Handout 2. Utah State University. Ethan Yang

GAMS Handout 2. Utah State University. Ethan Yang Uah ae Universiy DigialCmmns@UU All ECAIC Maerials ECAIC Repsiry 2017 GAM Handu 2 Ehan Yang yey217@lehigh.edu Fllw his and addiinal wrs a: hps://digialcmmns.usu.edu/ecsaic_all Par f he Civil Engineering

More information

The lower limit of interval efficiency in Data Envelopment Analysis

The lower limit of interval efficiency in Data Envelopment Analysis Jurnal f aa nelpmen nalysis and ecisin Science 05 N. (05) 58-66 ailable nline a www.ispacs.cm/dea lume 05, Issue, ear 05 ricle I: dea-00095, 9 Pages di:0.5899/05/dea-00095 Research ricle aa nelpmen nalysis

More information

PRINCE SULTAN UNIVERSITY Department of Mathematical Sciences Final Examination Second Semester (072) STAT 271.

PRINCE SULTAN UNIVERSITY Department of Mathematical Sciences Final Examination Second Semester (072) STAT 271. PRINCE SULTAN UNIVERSITY Deparmen f Mahemaical Sciences Final Examinain Secnd Semeser 007 008 (07) STAT 7 Suden Name Suden Number Secin Number Teacher Name Aendance Number Time allwed is ½ hurs. Wrie dwn

More information

10.7 Temperature-dependent Viscoelastic Materials

10.7 Temperature-dependent Viscoelastic Materials Secin.7.7 Temperaure-dependen Viscelasic Maerials Many maerials, fr example plymeric maerials, have a respnse which is srngly emperaure-dependen. Temperaure effecs can be incrpraed in he hery discussed

More information

PRODUCTIVITY GROWTH IN THE GREEK BANKING INDUSTRY: A NON-PARAMETRIC APPROACH. ANTHONY N. REZITIS University of Ioannina

PRODUCTIVITY GROWTH IN THE GREEK BANKING INDUSTRY: A NON-PARAMETRIC APPROACH. ANTHONY N. REZITIS University of Ioannina Jurnal f Applied Ecnmics. Vl IX N. Ma 2006 9-38 PROUCTIVITY GROWTH IN THE GREEK BANKING INUSTRY 9 PROUCTIVITY GROWTH IN THE GREEK BANKING INUSTRY: A NON-PARAMETRIC APPROACH ANTHONY N. REZITIS Universi

More information

Kinematics Review Outline

Kinematics Review Outline Kinemaics Review Ouline 1.1.0 Vecrs and Scalars 1.1 One Dimensinal Kinemaics Vecrs have magniude and direcin lacemen; velciy; accelerain sign indicaes direcin + is nrh; eas; up; he righ - is suh; wes;

More information

XIV Encuentro de Economía Pública Santander, 1 y 2 de febrero de 2007

XIV Encuentro de Economía Pública Santander, 1 y 2 de febrero de 2007 IV Encuenr de Ecnmía Pública Sanander y 2 de febrer de 2007 DOES CORRUPTION AFFECT EFFICIENC AND PRODUCTIVIT CHANGE? AN AGGREGATE FRONTIER ANALSIS SALINAS-JIMÉNEZ Mª del Mar Insiu de Esudis Fiscales and

More information

The Components of Vector B. The Components of Vector B. Vector Components. Component Method of Vector Addition. Vector Components

The Components of Vector B. The Components of Vector B. Vector Components. Component Method of Vector Addition. Vector Components Upcming eens in PY05 Due ASAP: PY05 prees n WebCT. Submiing i ges yu pin ward yur 5-pin Lecure grade. Please ake i seriusly, bu wha cuns is wheher r n yu submi i, n wheher yu ge hings righ r wrng. Due

More information

5.1 Angles and Their Measure

5.1 Angles and Their Measure 5. Angles and Their Measure Secin 5. Nes Page This secin will cver hw angles are drawn and als arc lengh and rains. We will use (hea) represen an angle s measuremen. In he figure belw i describes hw yu

More information

GMM Estimation of the Number of Latent Factors

GMM Estimation of the Number of Latent Factors GMM Esimain f he Number f aen Facrs Seung C. Ahn a, Marcs F. Perez b March 18, 2007 Absrac We prpse a generalized mehd f mmen (GMM) esimar f he number f laen facrs in linear facr mdels. he mehd is apprpriae

More information

An application of nonlinear optimization method to. sensitivity analysis of numerical model *

An application of nonlinear optimization method to. sensitivity analysis of numerical model * An applicain f nnlinear pimizain mehd sensiiviy analysis f numerical mdel XU Hui 1, MU Mu 1 and LUO Dehai 2 (1. LASG, Insiue f Amspheric Physics, Chinese Academy f Sciences, Beijing 129, China; 2. Deparmen

More information

Convex Stochastic Duality and the Biting Lemma

Convex Stochastic Duality and the Biting Lemma Jurnal f Cnvex Analysis Vlume 9 (2002), N. 1, 237 244 Cnvex Schasic Dualiy and he Biing Lemma Igr V. Evsigneev Schl f Ecnmic Sudies, Universiy f Mancheser, Oxfrd Rad, Mancheser, M13 9PL, UK igr.evsigneev@man.ac.uk

More information

Motion Along a Straight Line

Motion Along a Straight Line PH 1-3A Fall 010 Min Alng a Sraigh Line Lecure Chaper (Halliday/Resnick/Walker, Fundamenals f Physics 8 h ediin) Min alng a sraigh line Sudies he min f bdies Deals wih frce as he cause f changes in min

More information

An Introduction to Wavelet Analysis. with Applications to Vegetation Monitoring

An Introduction to Wavelet Analysis. with Applications to Vegetation Monitoring An Inrducin Wavele Analysis wih Applicains Vegeain Mniring Dn Percival Applied Physics Labrary, Universiy f Washingn Seale, Washingn, USA verheads fr alk available a hp://saff.washingn.edu/dbp/alks.hml

More information

An Analysis of Total Factor Productivity Growth in China s Agricultural Sector

An Analysis of Total Factor Productivity Growth in China s Agricultural Sector An Analsis f Tal Facr Prducivi Grwh in China s Agriculural Secr Shih-Hsun Hsu * Deparmen f Agriculural Ecnmics Nainal Taiwan Universi Taipei Taiwan Ming-Miin Yu Deparmen f Indusrial Engineering Da-Yeh

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 15 10/30/2013. Ito integral for simple processes

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 15 10/30/2013. Ito integral for simple processes MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.65/15.7J Fall 13 Lecure 15 1/3/13 I inegral fr simple prcesses Cnen. 1. Simple prcesses. I ismery. Firs 3 seps in cnsrucing I inegral fr general prcesses 1 I inegral

More information

Brace-Gatarek-Musiela model

Brace-Gatarek-Musiela model Chaper 34 Brace-Gaarek-Musiela mdel 34. Review f HJM under risk-neural IP where f ( T Frward rae a ime fr brrwing a ime T df ( T ( T ( T d + ( T dw ( ( T The ineres rae is r( f (. The bnd prices saisfy

More information

Lecture 4 ( ) Some points of vertical motion: Here we assumed t 0 =0 and the y axis to be vertical.

Lecture 4 ( ) Some points of vertical motion: Here we assumed t 0 =0 and the y axis to be vertical. Sme pins f erical min: Here we assumed and he y axis be erical. ( ) y g g y y y y g dwnwards 9.8 m/s g Lecure 4 Accelerain The aerage accelerain is defined by he change f elciy wih ime: a ; In analgy,

More information

Ramsey model. Rationale. Basic setup. A g A exogenous as in Solow. n L each period.

Ramsey model. Rationale. Basic setup. A g A exogenous as in Solow. n L each period. Ramsey mdel Rainale Prblem wih he Slw mdel: ad-hc assumpin f cnsan saving rae Will cnclusins f Slw mdel be alered if saving is endgenusly deermined by uiliy maximizain? Yes, bu we will learn a l abu cnsumpin/saving

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

More information

Numerical solution of some types of fractional optimal control problems

Numerical solution of some types of fractional optimal control problems Numerical Analysis and Scienific mpuing Preprin Seria Numerical sluin f sme ypes f fracinal pimal cnrl prblems N.H. Sweilam T.M. Al-Ajmi R.H.W. Hppe Preprin #23 Deparmen f Mahemaics Universiy f Husn Nvember

More information

AP Physics 1 MC Practice Kinematics 1D

AP Physics 1 MC Practice Kinematics 1D AP Physics 1 MC Pracice Kinemaics 1D Quesins 1 3 relae w bjecs ha sar a x = 0 a = 0 and mve in ne dimensin independenly f ne anher. Graphs, f he velciy f each bjec versus ime are shwn belw Objec A Objec

More information

THE DETERMINATION OF CRITICAL FLOW FACTORS FOR NATURAL GAS MIXTURES. Part 3: The Calculation of C* for Natural Gas Mixtures

THE DETERMINATION OF CRITICAL FLOW FACTORS FOR NATURAL GAS MIXTURES. Part 3: The Calculation of C* for Natural Gas Mixtures A REPORT ON THE DETERMINATION OF CRITICAL FLOW FACTORS FOR NATURAL GAS MIXTURES Par 3: The Calculain f C* fr Naural Gas Mixures FOR NMSPU Deparmen f Trade and Indusry 151 Buckingham Palace Rad Lndn SW1W

More information

Lecture II Simple One-Dimensional Vibrating Systems

Lecture II Simple One-Dimensional Vibrating Systems UIUC Physics 406 Acusical Physics f Music Lecure II Simple One-Dimensinal Vibraing Sysems One mehd f prducing a sund relies n a physical bjec (e.g. varius ypes f musical insrumens sringed and wind insrumens

More information

Impact Switch Study Modeling & Implications

Impact Switch Study Modeling & Implications L-3 Fuzing & Ordnance Sysems Impac Swich Sudy Mdeling & Implicains Dr. Dave Frankman May 13, 010 NDIA 54 h Annual Fuze Cnference This presenain cnsiss f L-3 Crprain general capabiliies infrmain ha des

More information

CHAPTER 7 CHRONOPOTENTIOMETRY. In this technique the current flowing in the cell is instantaneously stepped from

CHAPTER 7 CHRONOPOTENTIOMETRY. In this technique the current flowing in the cell is instantaneously stepped from CHAPTE 7 CHONOPOTENTIOMETY In his echnique he curren flwing in he cell is insananeusly sepped frm zer sme finie value. The sluin is n sirred and a large ecess f suppring elecrlye is presen in he sluin;

More information

MEASURING PRODUCTIVE EFFICIENCY AND COST OF PUBLIC EDUCATION

MEASURING PRODUCTIVE EFFICIENCY AND COST OF PUBLIC EDUCATION Measuring Prducive Efficienc and Cs Of Public Educain MEASURING PRODUCTIVE EFFICIENCY AND COST OF PUBLIC EDUCATION Kalan Chakrabr Empria Sae Universi ABSTRACT This sud eamines he relainship beween schl

More information

Visco-elastic Layers

Visco-elastic Layers Visc-elasic Layers Visc-elasic Sluins Sluins are bained by elasic viscelasic crrespndence principle by applying laplace ransfrm remve he ime variable Tw mehds f characerising viscelasic maerials: Mechanical

More information

Revelation of Soft-Switching Operation for Isolated DC to Single-phase AC Converter with Power Decoupling

Revelation of Soft-Switching Operation for Isolated DC to Single-phase AC Converter with Power Decoupling Revelain f Sf-Swiching Operain fr Islaed DC Single-phase AC Cnverer wih wer Decupling Nagisa Takaka, Jun-ichi Ih Dep. f Elecrical Engineering Nagaka Universiy f Technlgy Nagaka, Niigaa, Japan nakaka@sn.nagakau.ac.jp,

More information

Successive ApproxiInations and Osgood's Theorenl

Successive ApproxiInations and Osgood's Theorenl Revisa de la Unin Maemaica Argenina Vlumen 40, Niimers 3 y 4,1997. 73 Successive ApprxiInains and Osgd's Therenl Calix P. Caldern Virginia N. Vera de Seri.July 29, 1996 Absrac The Picard's mehd fr slving

More information

Examples of Complex Sound Fields:

Examples of Complex Sound Fields: UIUC Physics 406 Acusical Physics f Music Eamples f Cmple Sund Fields: Eample # 0: Generic 3-D Mnchrmaic Traveling Wave: Befre we launch in discussing several specific eamples f cmple sund fields/sund

More information

Physics Courseware Physics I Constant Acceleration

Physics Courseware Physics I Constant Acceleration Physics Curseware Physics I Cnsan Accelerain Equains fr cnsan accelerain in dimensin x + a + a + ax + x Prblem.- In he 00-m race an ahlee acceleraes unifrmly frm res his p speed f 0m/s in he firs x5m as

More information

RAPIDLY ADAPTIVE CFAR DETECTION BY MERGING INDIVIDUAL DECISIONS FROM TWO-STAGE ADAPTIVE DETECTORS

RAPIDLY ADAPTIVE CFAR DETECTION BY MERGING INDIVIDUAL DECISIONS FROM TWO-STAGE ADAPTIVE DETECTORS RAPIDLY ADAPIVE CFAR DEECION BY MERGING INDIVIDUAL DECISIONS FROM WO-SAGE ADAPIVE DEECORS Analii A. Knnv, Sung-yun Chi and Jin-a Kim Research Cener, SX Engine Yngin-si, 694 Krea kaa@ieee.rg; dkrein@nesx.cm;

More information

Money in OLG Models. 1. Introduction. Econ604. Spring Lutz Hendricks

Money in OLG Models. 1. Introduction. Econ604. Spring Lutz Hendricks Mne in OLG Mdels Ecn604. Spring 2005. Luz Hendricks. Inrducin One applicain f he mdels sudied in his curse ha will be pursued hrughu is mne. The purpse is w-fld: I prvides an inrducin he ke mdels f mne

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

447. Assessment of damage risk function of structural components under vibrations

447. Assessment of damage risk function of structural components under vibrations 447. Assessmen f damage risk funcin f srucural cmnens under virains J. Dulevičius, A. Žiliukas Kaunas Universiy f Technlgy, Kesuci s. 27, LT-4432 Kaunas, Lihuania e-mail: jnas.dulevicius@ku.l, ananas.ziliukas@ku.l

More information

Large-scale Distance Metric Learning with Uncertainty

Large-scale Distance Metric Learning with Uncertainty i Large-scale Disance Meric Learning wih Uncerainy Qi Qian Jiasheng Tang Ha Li Shenghu Zhu Rng Jin Alibaba Grup, Bellevue, WA, 98004, USA {qi.qian, jiasheng.js, liha.lh, shenghu.zhu, jinrng.jr}@alibaba-inc.cm

More information

Acta Scientiarum. Technology ISSN: Universidade Estadual de Maringá Brasil

Acta Scientiarum. Technology ISSN: Universidade Estadual de Maringá Brasil Aca cieniarum. Technlgy IN: 86-2563 eduem@uem.br Universidade Esadual de Maringá Brasil hang, Hsu Yang A mehdlgy fr analysis f defecive pipeline by inrducing sress cncenrain facr in beam-pipe finie elemen

More information

Postponing Retirement, Endogenous Fertility, Social Security. and Welfare. Gen Zhixiang. Tanggang Yuan

Postponing Retirement, Endogenous Fertility, Social Security. and Welfare. Gen Zhixiang. Tanggang Yuan Pspning Reiremen, Endgenus Ferili, Scial Securi and Welfare Gen Zhixiang Tanggang Yuan Absrac Based n an exended verlapping generains mdel wih endgenus ferili, his paper sudies he effecs f raising he mandar

More information

Efficient and Fast Simulation of RF Circuits and Systems via Spectral Method

Efficient and Fast Simulation of RF Circuits and Systems via Spectral Method Efficien and Fas Simulain f RF Circuis and Sysems via Specral Mehd 1. Prjec Summary The prpsed research will resul in a new specral algrihm, preliminary simular based n he new algrihm will be subsanially

More information

Coalition Formation and Data Envelopment Analysis

Coalition Formation and Data Envelopment Analysis Jurnal f CENTRU Cathedra Vlume 4, Issue 2, 20 26-223 JCC Jurnal f CENTRU Cathedra Calitin Frmatin and Data Envelpment Analysis Rlf Färe Oregn State University, Crvallis, OR, USA Shawna Grsspf Oregn State

More information

Strengthening of web opening in non-compact steel girders

Strengthening of web opening in non-compact steel girders IOSR Jurnal f Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Vlume 12, Issue 5 Ver. II (Sep. - Oc. 2015), PP 34-47 www.isrjurnals.rg Srenghening f web pening in nn-cmpac

More information

Fractional Order Disturbance Observer based Robust Control

Fractional Order Disturbance Observer based Robust Control 201 Inernainal Cnference n Indusrial Insrumenain and Cnrl (ICIC) Cllege f Engineering Pune, India. May 28-30, 201 Fracinal Order Disurbance Observer based Rbus Cnrl Bhagyashri Tamhane 1, Amrua Mujumdar

More information

Optimization of Four-Button BPM Configuration for Small-Gap Beam Chambers

Optimization of Four-Button BPM Configuration for Small-Gap Beam Chambers Opimizain f Fur-Bun BPM Cnfigurain fr Small-Gap Beam Chamers S. H. Kim Advanced Phn Surce Argnne Nainal Larary 9700 Suh Cass Avenue Argnne, Illinis 60439 USA Asrac. The cnfigurain f fur-un eam psiin mnirs

More information

CONVERGENCE IN OECD COUNTRIES: TECHNICAL CHANGE, EFFICIENCY AND PRODUCTIVITY *

CONVERGENCE IN OECD COUNTRIES: TECHNICAL CHANGE, EFFICIENCY AND PRODUCTIVITY * CONVERGENCE IN OECD COUNTRIES: TECHNICAL CHANGE, EFFICIENCY AND PRODUCTIVITY * Jaquín Mauds, Jsé Manuel Pasr and Lrenz Serran * WP-EC 98-2 Crrespndence J. Mauds: Universia de València. Faculad de Ciencias

More information

Review of HAARP Experiment and Assessment of Ionospheric Effects

Review of HAARP Experiment and Assessment of Ionospheric Effects Third AL PI ympsium Kna, Hawaii Nvember 9-3, 009 Review f HAARP Experimen and Assessmen f Inspheric Effecs T. L. Ainswrh, Y. Wang, J.-. Lee, and K.-. Chen Naval Research Labrary, Washingn DC, UA CRR, Nainal

More information

Licenciatura de ADE y Licenciatura conjunta Derecho y ADE. Hoja de ejercicios 2 PARTE A

Licenciatura de ADE y Licenciatura conjunta Derecho y ADE. Hoja de ejercicios 2 PARTE A Licenciaura de ADE y Licenciaura conjuna Derecho y ADE Hoja de ejercicios PARTE A 1. Consider he following models Δy = 0.8 + ε (1 + 0.8L) Δ 1 y = ε where ε and ε are independen whie noise processes. In

More information

Coherent PSK. The functional model of passband data transmission system is. Signal transmission encoder. x Signal. decoder.

Coherent PSK. The functional model of passband data transmission system is. Signal transmission encoder. x Signal. decoder. Cheren PSK he funcinal mdel f passand daa ransmissin sysem is m i Signal ransmissin encder si s i Signal Mdular Channel Deecr ransmissin decder mˆ Carrier signal m i is a sequence f syml emied frm a message

More information

Floating Point Method for Solving Transportation. Problems with Additional Constraints

Floating Point Method for Solving Transportation. Problems with Additional Constraints Internatinal Mathematical Frum, Vl. 6, 20, n. 40, 983-992 Flating Pint Methd fr Slving Transprtatin Prblems with Additinal Cnstraints P. Pandian and D. Anuradha Department f Mathematics, Schl f Advanced

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

Standard models used for monetary policy analysis typically assume that households and

Standard models used for monetary policy analysis typically assume that households and Cenennial Issue Annuncemens and he Rle f Plicy Guidance Carl E. Walsh By prviding guidance abu fuure ecnmic develpmens, cenral banks can affec privae secr expecains and decisins. This can imprve welfare

More information

DISTANCE PROTECTION OF HVDC TRANSMISSION LINE WITH NOVEL FAULT LOCATION TECHNIQUE

DISTANCE PROTECTION OF HVDC TRANSMISSION LINE WITH NOVEL FAULT LOCATION TECHNIQUE IJRET: Inernainal Jurnal f Research in Engineering and Technlgy eissn: 9-6 pissn: -78 DISTANCE PROTECTION OF HVDC TRANSMISSION LINE WITH NOVEL FAULT LOCATION TECHNIQUE Ruchia Nale, P. Suresh Babu Suden,

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

Index-based Most Similar Trajectory Search

Index-based Most Similar Trajectory Search Index-based Ms Similar rajecry Search Elias Frenzs Ksas Grasias Yannis hedridis ep. f Infrmaics, Universiy f Piraeus, Greece ep. f Infrmaics, Universiy f Piraeus, Greece ep. f Infrmaics, Universiy f Piraeus,

More information

ON THE COMPONENT DISTRIBUTION COEFFICIENTS AND SOME REGULARITIES OF THE CRYSTALLIZATION OF SOLID SOLUTION ALLOYS IN MULTICOMPONENT SYSTEMS*

ON THE COMPONENT DISTRIBUTION COEFFICIENTS AND SOME REGULARITIES OF THE CRYSTALLIZATION OF SOLID SOLUTION ALLOYS IN MULTICOMPONENT SYSTEMS* METL 006.-5.5.006, Hradec nad Mravicí ON THE OMPONENT DISTRIUTION OEFFIIENTS ND SOME REGULRITIES OF THE RYSTLLIZTION OF SOLID SOLUTION LLOYS IN MULTIOMPONENT SYSTEMS* Eugenij V.Sidrv a, M.V.Pikunv b, Jarmír.Drápala

More information

and Sun (14) and Due and Singlen (19) apply he maximum likelihd mehd while Singh (15), and Lngsa and Schwarz (12) respecively emply he hreesage leas s

and Sun (14) and Due and Singlen (19) apply he maximum likelihd mehd while Singh (15), and Lngsa and Schwarz (12) respecively emply he hreesage leas s A MONTE CARLO FILTERING APPROACH FOR ESTIMATING THE TERM STRUCTURE OF INTEREST RATES Akihik Takahashi 1 and Seish Sa 2 1 The Universiy f Tky, 3-8-1 Kmaba, Megur-ku, Tky 153-8914 Japan 2 The Insiue f Saisical

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

The Buck Resonant Converter

The Buck Resonant Converter EE646 Pwer Elecrnics Chaper 6 ecure Dr. Sam Abdel-Rahman The Buck Resnan Cnverer Replacg he swich by he resnan-ype swich, ba a quasi-resnan PWM buck cnverer can be shwn ha here are fur mdes f pera under

More information

Index-based Most Similar Trajectory Search

Index-based Most Similar Trajectory Search Index-based Ms Similar rajecry Search Elias Frenzs, Ksas Grasias, Yannis hedridis Labrary f Infrmain Sysems eparmen f Infrmaics Universiy f Piraeus Hellas echnical Repr Series UNIPI-ISL-R-6- Nvember 6

More information

Testing for a Single Factor Model in the Multivariate State Space Framework

Testing for a Single Factor Model in the Multivariate State Space Framework esing for a Single Facor Model in he Mulivariae Sae Space Framework Chen C.-Y. M. Chiba and M. Kobayashi Inernaional Graduae School of Social Sciences Yokohama Naional Universiy Japan Faculy of Economics

More information

Stability of the SDDRE based Estimator for Stochastic Nonlinear System

Stability of the SDDRE based Estimator for Stochastic Nonlinear System 26 ISCEE Inernainal Cnference n he Science f Elecrical Engineering Sabiliy f he SDDRE based Esimar fr Schasic Nnlinear Sysem Ilan Rusnak Senir Research Fellw, RAFAEL (63, P.O.Bx 225, 322, Haifa, Israel.;

More information

An allocation productivity indicator: Application in Taiwanese banks

An allocation productivity indicator: Application in Taiwanese banks Journal of Applied Finance & Banking, vol. 8, no. 5, 2018, 19-41 ISSN: 1792-6580 (prin version), 1792-6599 (online) Scienpress Ld, 2018 An allocaion produciviy indicaor: Applicaion in Taiwanese banks Xiang

More information

The 37th International Physics Olympiad Singapore. Experimental Competition. Wednesday, 12 July, Sample Solution

The 37th International Physics Olympiad Singapore. Experimental Competition. Wednesday, 12 July, Sample Solution The 37h Inernainal Physics Olypiad Singapre Experienal Cpeiin Wednesday, July, 006 Saple Sluin Par a A skech f he experienal seup (n required) Receiver Raing able Gnieer Fixed ar Bea splier Gnieer Mvable

More information

Lecture 3: Resistive forces, and Energy

Lecture 3: Resistive forces, and Energy Lecure 3: Resisive frces, and Energy Las ie we fund he velciy f a prjecile ving wih air resisance: g g vx ( ) = vx, e vy ( ) = + v + e One re inegrain gives us he psiin as a funcin f ie: dx dy g g = vx,

More information

Physics 111. Exam #1. September 28, 2018

Physics 111. Exam #1. September 28, 2018 Physics xam # Sepember 8, 08 ame Please read and fllw hese insrucins carefully: Read all prblems carefully befre aemping slve hem. Yur wrk mus be legible, and he rganizain clear. Yu mus shw all wrk, including

More information

ELEG 205 Fall Lecture #10. Mark Mirotznik, Ph.D. Professor The University of Delaware Tel: (302)

ELEG 205 Fall Lecture #10. Mark Mirotznik, Ph.D. Professor The University of Delaware Tel: (302) EEG 05 Fall 07 ecure #0 Mark Mirznik, Ph.D. Prfessr The Universiy f Delaware Tel: (3083-4 Email: mirzni@ece.udel.edu haper 7: apacirs and Inducrs The apacir Symbl Wha hey really lk like The apacir Wha

More information

Microwave Engineering

Microwave Engineering Micrwave Engineering Cheng-Hsing Hsu Deparmen f Elecrical Engineering Nainal Unied Universiy Ouline. Transmissin ine Thery. Transmissin ines and Waveguides eneral Sluins fr TEM, TE, and TM waves ; Parallel

More information

Soccer Player Tracking across Uncalibrated Camera Streams

Soccer Player Tracking across Uncalibrated Camera Streams EEE nernainal rkshp n Visual Surveillance and erfrmance Evaluain f Tracking and Surveillance ETS 3 n cnjuncin wih V Ocber 3 Nice France. Sccer layer Tracking acrss Uncalibraed amera Sreams Jinman Kang

More information

Analytical Analysis of Lock-on Range of Infrared Heat Seeker Missile

Analytical Analysis of Lock-on Range of Infrared Heat Seeker Missile Ausralian Jurnal f Basic and Applied Sciences, 3(4): 3703-3713, 2009 ISSN 1991-8178 Analyical Analysis f Lck-n Range f Infrared Hea Seeker Missile Mhammad Syuhaimi Ab-Rahman and Mazen R. Hassan Cmpuer

More information

American Society for Quality

American Society for Quality American Sciey fr Qualiy Nnparameric Esimain f a Lifeime Disribuin When Censring Times Are Missing Auhr(s): X. Jan Hu, Jerald F. Lawless, Kazuyuki Suzuki Surce: Technmerics, Vl. 4, N. 1 (Feb., 1998), pp.

More information

Thermal Analysis Validation for Different Design Tubes in a Heat Exchanger

Thermal Analysis Validation for Different Design Tubes in a Heat Exchanger Thermal Analysis Validain fr Differen Design Tubes in a Hea Exchanger Rshan. V. Marde, Ashk. J. Keche Deparmen f Mechanical Engineering, MIT, Aurangabad (M., India Aricle Inf Aricle hisry: Received 2 January

More information

CHAPTER 14 CHEMICAL KINETICS

CHAPTER 14 CHEMICAL KINETICS CHAPTER 4 CHEMICAL KINETICS PRACTICE EXAMPLES A B (E) The rae f cnsumpin fr a reacan is expressed as he negaive f he change in mlariy divided by he ime inerval. The rae f reacin is expressed as he rae

More information

AP Statistics Notes Unit Two: The Normal Distributions

AP Statistics Notes Unit Two: The Normal Distributions AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).

More information

Section 12 Time Series Regression with Non- Stationary Variables

Section 12 Time Series Regression with Non- Stationary Variables Secin Time Series Regressin wih Nn- Sainary Variables The TSMR assumpins include, criically, he assumpin ha he variables in a regressin are sainary. Bu many (ms?) ime-series variables are nnsainary. We

More information

ACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H.

ACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H. ACE 564 Spring 2006 Lecure 7 Exensions of The Muliple Regression Model: Dumm Independen Variables b Professor Sco H. Irwin Readings: Griffihs, Hill and Judge. "Dumm Variables and Varing Coefficien Models

More information

6 th International Conference on Trends in Agricultural Engineering 7-9 September 2016, Prague, Czech Republic

6 th International Conference on Trends in Agricultural Engineering 7-9 September 2016, Prague, Czech Republic THEORETICAL INVESTIGATIONS OF MINERAL FERTILISER DISTRIBTION BY MEANS OF AN INCLINED CENTRIFGAL TOOL V. Bulgakv 1, O. Adamchuk, S. Ivanvs 3 1 Nainal niversiy Lie and Envirnmenal Sciences kraine Nainal

More information

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical mdel fr micrarray data analysis David Rssell Department f Bistatistics M.D. Andersn Cancer Center, Hustn, TX 77030, USA rsselldavid@gmail.cm

More information

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015 Explaining Toal Facor Produciviy Ulrich Kohli Universiy of Geneva December 2015 Needed: A Theory of Toal Facor Produciviy Edward C. Presco (1998) 2 1. Inroducion Toal Facor Produciviy (TFP) has become

More information

Exponentially Weighted Moving Average (EWMA) Chart Based on Six Delta Initiatives

Exponentially Weighted Moving Average (EWMA) Chart Based on Six Delta Initiatives hps://doi.org/0.545/mjis.08.600 Exponenially Weighed Moving Average (EWMA) Char Based on Six Dela Iniiaives KALPESH S. TAILOR Deparmen of Saisics, M. K. Bhavnagar Universiy, Bhavnagar-36400 E-mail: kalpesh_lr@yahoo.co.in

More information

A NOTE ON THE EXISTENCE OF AN OPTIMAL SOLUTION FOR CONCAVE INFINITE HORIZON ECONOMIC MODELS

A NOTE ON THE EXISTENCE OF AN OPTIMAL SOLUTION FOR CONCAVE INFINITE HORIZON ECONOMIC MODELS A NOTE ON THE EXISTENCE OF AN OPTIMAL SOLUTION FOR CONCAVE INFINITE HORIZON ECONOMIC MODELS by Smdeb Lahiri Discussin Paper N. 221, Sepember 1985 Cener fr Ecnmic Research Deparmen f Ecnmics Universiy f

More information

Performance Bounds for Detect and Avoid Signal Sensing

Performance Bounds for Detect and Avoid Signal Sensing Perfrmance unds fr Detect and Avid Signal Sensing Sam Reisenfeld Real-ime Infrmatin etwrks, University f echnlgy, Sydney, radway, SW 007, Australia samr@uts.edu.au Abstract Detect and Avid (DAA) is a Cgnitive

More information

Time-dependent behaviour of inhomogeneous Restructures: application to long term analysis of R C arch and arch-frame bridges

Time-dependent behaviour of inhomogeneous Restructures: application to long term analysis of R C arch and arch-frame bridges Timedependen behaviur f inhmgeneus Resrucures: applicain lng erm analysis f R C arch and archframe bridges E Mla* Pliecnic di Milan aly F Pigni Pliecnic di Milan aly 26h Cnference n OUR WORLD N CONCRETE

More information

PASSIVE PFC FOR FLYBACK CONVERTORS

PASSIVE PFC FOR FLYBACK CONVERTORS PASSIE PFC FOR FLYBACK COERORS Parviz Par and Keyue M Sedley Dep f Elecrical and Cpuer Engineering Universiy f Califrnia, Irvine Irvine, Califrnia 9697 Absrac A new passive Pwer Facr Crrecr (PFC) based

More information

(2) Even if such a value of k was possible, the neutrons multiply

(2) Even if such a value of k was possible, the neutrons multiply CHANGE OF REACTOR Nuclear Thery - Curse 227 POWER WTH REACTVTY CHANGE n this lessn, we will cnsider hw neutrn density, neutrn flux and reactr pwer change when the multiplicatin factr, k, r the reactivity,

More information

The General Linear Test in the Ridge Regression

The General Linear Test in the Ridge Regression ommunicaions for Saisical Applicaions Mehods 2014, Vol. 21, No. 4, 297 307 DOI: hp://dx.doi.org/10.5351/sam.2014.21.4.297 Prin ISSN 2287-7843 / Online ISSN 2383-4757 The General Linear Tes in he Ridge

More information

INSTRUMENTAL VARIABLES

INSTRUMENTAL VARIABLES INSTRUMENTAL VARIABLES Technical Track Sessin IV Sergi Urzua University f Maryland Instrumental Variables and IE Tw main uses f IV in impact evaluatin: 1. Crrect fr difference between assignment f treatment

More information

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile

More information

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Capacity Constraints

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Capacity Constraints IJCSI Inernaional Journal of Compuer Science Issues, Vol 9, Issue 1, No 1, January 2012 wwwijcsiorg 18 Applying Geneic Algorihms for Invenory Lo-Sizing Problem wih Supplier Selecion under Sorage Capaciy

More information

A Dynamic Model of Economic Fluctuations

A Dynamic Model of Economic Fluctuations CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model

More information

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

More information

Physics for Scientists & Engineers 2

Physics for Scientists & Engineers 2 Direc Curren Physics for Scieniss & Engineers 2 Spring Semeser 2005 Lecure 16 This week we will sudy charges in moion Elecric charge moving from one region o anoher is called elecric curren Curren is all

More information

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging American Journal of Operaional Research 0, (): -5 OI: 0.593/j.ajor.000.0 An Invenory Model for Time ependen Weibull eerioraion wih Parial Backlogging Umakana Mishra,, Chaianya Kumar Tripahy eparmen of

More information

Shandong Qingdao , China. Shandong Qingdao, , China

Shandong Qingdao , China. Shandong Qingdao, , China 2016 Inernainal Cnference n Maerials, Manufacuring and Mechanical Engineering (MMME 2016) ISB: 978-1-60595-413-4 Min Cnrl Sysem f C Turre Punch Feeding Mechanism Based n Min Cnrl Card Ai-xia CAO 1, Pei-si

More information

Unit-I (Feedback amplifiers) Features of feedback amplifiers. Presentation by: S.Karthie, Lecturer/ECE SSN College of Engineering

Unit-I (Feedback amplifiers) Features of feedback amplifiers. Presentation by: S.Karthie, Lecturer/ECE SSN College of Engineering Uni-I Feedback ampliiers Feaures eedback ampliiers Presenain by: S.Karhie, Lecurer/ECE SSN Cllege Engineering OBJECTIVES T make he sudens undersand he eec negaive eedback n he llwing ampliier characerisics:

More information

Return and Volatility Spillovers Between Large and Small Stocks in the UK

Return and Volatility Spillovers Between Large and Small Stocks in the UK eurn and Vlailiy Spillvers Beween Large and Small Scks in he UK ichard D. F. Harris Xfi Cenre fr Finance and Invesmen Universiy f Exeer, UK Aniru Pisedasalasai Deparmen f Accuning, Finance and Infrmain

More information

Comparing Means: t-tests for One Sample & Two Related Samples

Comparing Means: t-tests for One Sample & Two Related Samples Comparing Means: -Tess for One Sample & Two Relaed Samples Using he z-tes: Assumpions -Tess for One Sample & Two Relaed Samples The z-es (of a sample mean agains a populaion mean) is based on he assumpion

More information

Module 4. Analysis of Statically Indeterminate Structures by the Direct Stiffness Method. Version 2 CE IIT, Kharagpur

Module 4. Analysis of Statically Indeterminate Structures by the Direct Stiffness Method. Version 2 CE IIT, Kharagpur Mdle Analysis f Saically Indeerminae Srcres by he Direc Siffness Mehd Versin CE IIT, Kharagr Lessn The Direc Siffness Mehd: Temerare Changes and Fabricain Errrs in Trss Analysis Versin CE IIT, Kharagr

More information

DEA Models for Parallel Systems: Game-Theoretic Approaches

DEA Models for Parallel Systems: Game-Theoretic Approaches Asia-Pacific Jurnal f Operatinal Research Vl. 32, N. 2 (2015) 1550008 (22 pages) c Wrld Scientific Publishing C. & Operatinal Research Sciety f Singapre DOI: 10.1142/S0217595915500086 DEA Mdels fr Parallel

More information

Final Exam. Tuesday, December hours

Final Exam. Tuesday, December hours San Francisco Sae Universiy Michael Bar ECON 560 Fall 03 Final Exam Tuesday, December 7 hours Name: Insrucions. This is closed book, closed noes exam.. No calculaors of any kind are allowed. 3. Show all

More information

A Note on the Approximation of the Wave Integral. in a Slightly Viscous Ocean of Finite Depth. due to Initial Surface Disturbances

A Note on the Approximation of the Wave Integral. in a Slightly Viscous Ocean of Finite Depth. due to Initial Surface Disturbances Applied Mahemaical Sciences, Vl. 7, 3, n. 36, 777-783 HIKARI Ld, www.m-hikari.cm A Ne n he Apprximain f he Wave Inegral in a Slighly Viscus Ocean f Finie Deph due Iniial Surface Disurbances Arghya Bandypadhyay

More information