Generalized Super Efficiency Model for Ranking Efficient Decision Making Units in Data Envelopment Analysis
|
|
- Alexis Stafford
- 5 years ago
- Views:
Transcription
1 Autala Joual of Bac ad Appled Scece, 5(12): , 2011 ISSN Geealzed Supe Effcecy Model fo Rakg Effcet Deco Makg Ut Data Evelopet Aaly 1 M. Fallah Jeloda, 2 G.R. Jahahahloo, 2 F. Hoezadeh Lotf, 1 A. Ghola Ab 1 Depatet of Matheatc, Ilac Azad Uvety, Foozkooh Bach, Foozkooh, Ia. 2 Depatet of Matheatc, Ilac Azad Uvety, Scece ad Reeach Bach Teha, Ia. Abtact: I evaluatg deco akg ut (DMU ) by ug Data Evelopet Aaly (DEA) techque, we ecoute the tuato whch oe tha oe ut take effcecy coe of oe. I uch a cae, oe ctea hould be codeed to ak the DMU. Soe effcet techque uch a AP, MAJ,etc ay be ued th way. Fo oe et of data, wth pecal tuctue odel that above etoed, ay be feable ad utable. I th pape, a ew odel developed that all the extg dawback of pevouly appled odel eove. Soe uecal exaple ae put fowad. Key wod: DEA, Effcecy, Rakg. INTRODUCTION Data Evelopet Aaly (DEA) a o-paaetc ethod fo evaluatg deco akg ut (DMU). It toduced by Chae et al., (1978), aeet of a educatoal cete the USA ad the exteded by Bake et al., (1984). Matheatcal pogag wa ued by the to eet the goal. I evaluatg the elatve effcecy of each deco akg ut by DEA, the coe betwee zeo ad oe ae obtaed. I th way, uually oe tha oe ut ay be effcet the DEA odel ad the coe wll be 1. It hould be codeed that a ube of effcet ut the Vaable Retu to Scale (VRS) odel, ae ot le tha the Cotat Retu to Scale (CRS) odel a well. So, the eeache have popoed oe ethod to dffeetate betwee the effcet ut. It called Rakg effcet ut DEA. Thee ae o ay akg ethod that each of the ha pecal faclte ad popete fo akg effcet ut. Chae et al., (1958a), have couted a ube of te whch, a effcet DMU play the ole of a bechakg ut fo othe, ad the o wll be ued to ak the. Becaue of dffculte fdg the efeece et of a DMU, the odel ot a appopate oe. Chae et al., (1985b), have popoed aothe ethod ode to fdout a bechak DMU. The ate of output ha bee chaged ad evaluated the vaato of effcecy coe by the. Howeve, they dd t ealze, how they fulfl t. Sexto et al., (1986), have uggeted the Co Effcecy ethod. I th ethod, the weght, whch ae obtaed by olvg each of -lea poble, ae ued. They have evaluated the effcecy of each DMU, fo eveal te ad the the data would be put a atx. Each ow of th atx cota the co effcecy coe of DMU. The aveage of each ow coputed ad the eult ae toed a a akg eaue. It ee that, t hould be a vald ethod, but oe dffculte would be faced. The ot potat poble coe to extece, whe the DEA odel have alteatve oluto. Fally, t hould be oted that, thee ae oe techque ad tatege DEA, whch ae poed o the akg. Fo exaple, Thopo et al., (1992), have ued the afe ego. I the techque, a ube of effcet DMU ay be educed. But t the ethod ot a utable oe becaue of dffculte fdg the appopate weght. Adle et al., (2005), have uggeted aothe ethod to ake a dffeece betwee DMU. I the odel they have deceaed a ube of put ad output a well, by ug copoet aaly. It caue, the ube of effcet DMU to be deceaed. But, geeal, the odel ay ot be ued fo a pefect akg. Adeo ad Petee (AP odel) (1993), have aked extee effcet ut by ottg the fo Poblty Poducto Set (PPS), ad the Mehaba et al., (MAG) (1999), have odfed the APE odel. I oe ccutace, the etoed odel ay be feable ad pecally the AP odel ay be utable becaue of extee etvty to all vaato data, whee oe DMU have elatvely all value fo Coepodg Autho: Mehd Fallah Jeloda, Depatet of Matheatc, Ilac Azad Uvety, Foozkooh Bach, Foozkooh, Ia. E-al: ehd.fallaheloda@yahoo.co, ehd.fallah@aufb.ac. 2952
2 Aut. J. Bac & Appl. Sc., 5(12): , 2011 oe of the put. Saat et al., (1999), have odfed MAJ odel ad olved t feablty ad Jahahahloo et al (2006), have chaged the type of data oalzato ode to eceve a uch bette eult. I ode to eove the dffculte fo AP ad MAJ odel, oe atheatca have ued pecfc o. Fo tace, Jahahahloo et al., (2004), have pactced L1 o fo akg effcet ut. Ateoo et al., (2001), have expeeced L2 o to fd the gap betwee evaluated effcet ut ad the ew PPS. Gadet le ad ellpod o have bee ued by Jahahahloo et al., (2004), ode to ak effcet ut. Toe, (2001) ad (2002), ha ued SBM odel th way. Shalg L et al., (2006), have developed the wok of Toe, (2001) ad (2002), fo t feablty by ug a kd of SBM odel. To evew akg ethod ee alo Adle et al., (2002). Rakg Model: I th pat, oe akg odel Data Evelopeet Aaly (DEA) ae uazed. Code, DMU wth put ad output. The put ad output vecto of DMU ( = 1,...,) ae X = (x 1,...,x ) t, Y = (y 1,...,y ) t whee X $ 0, X 0, Y $ 0,Y 0. By ug the cotat etu to cale, covexty ad poblty potulate, the o-epty poducto poblty et (PPS) defed a follow: Tc ( X, Y) : X X, Y X, 0, 1..., 1 1 I ode to ak the effcet ut, the evaluated DMUo fo Tc ae otted by Adeo ad Peteo (2005). The popoed odel CCR/ε odel a follow: ax 1 1 St. vx 1 uy vx 0, 1,..., o 1 1 u, 1,..., v, 1,..., uy o o (1) ad t dual : 1, o 1, o 1 1 [ ] St. x x, 1,..., o y y, 1,..., o 0, 1,...,, o 0, 1,..., 0, 1,..., (2) 2953
3 Aut. J. Bac & Appl. Sc., 5(12): , 2011 Fo effcet ut θ*$ 1 ad fo effcet ut 0 < θ* < 1.. Fo oe detal ee fgue 1: Fg. 1: AP odel Ut B a extee effcet oe. I ode to ak B by ug AP odel, at ft, t hould be otted * OB * fo T c. The ew fote AFCD ad t effcecy coe : B. It obvou that B 1. OB Ottg o extee effcet ut F would ot chage the fote, o t coe ea 1. That ea, AP odel ay ot be ued fo akg o extee effcet ut. It the poble of all DEA akg odel. AP odel ha two potat poble: (1) AP odel ay be feable fo pecal data put oeted cae. I fgue 2, Fo exaple, ut D ha the aout of zeo t ft put but oe of the othe ut ha zeo the ae tuato. Hece, AP odel feable th cae. It hould be codeed that the odel alway feable output oeted cae. Fg. 2: AP odel feable (2) AP odel utable fo oe DMU whch, oe of the data eleet cloed to zeo. To eove the poble that coe to accout AP odel, Mehaba et al., (2006) have offeed MAJ odel. Ft of all, they the evaluated ut fo poducto pobly et ae extcated, the all put by w ae ceaed. The popoed odel depcted fgue 3: 2954
4 Aut. J. Bac & Appl. Sc., 5(12): , 2011 Fg. 3: MAJ odel MAJ odel ay be wtte a follow: 1+w 1 w St. x x, w 1,..., 1, o 1, o o y y, 1,..., o 0, 1,...,, o (3) It ca be cocluded that the odel ot alway feable fo ay et of data. Theoe 1: The eceay ad uffcet codto fo feablty of MAJ odel : evaluatg of DMU o, o y o =0, = 1,..., o thee ext DMU, o uch that y 0. Poof. ee Mehaba et al., (1999). Popoed Model fo Rakg Effcet Ut: I ode to extcate the feablty of AP ad MAJ odel, t hould be codeed dffeet tep fo ceag put ad deceag output, tead of ug equal tep. The uggeted odel fo akg extee effcet ut a follow: 1 1 [ ] 1 1, o 1, o St. x x, w 1,..., y y z, 1,..., 0, 1,...,, o o o w 0, 1,..., z 0, 1,..., w z (4) 2955
5 Aut. J. Bac & Appl. Sc., 5(12): , 2011 whee α ad β ae the weght that aage tate, o they hould be foud fo the data et by the elatve potace. Theefoe, the odel 4 ay be opeated by aage hae, becaue of codeg aage opto a well. Suppog the etty of obectve fucto whch zato, the aout of α ad β ae potat. I th tatueque, the lttle α be ued, the oe ceag w be obtaed. Ad alo we ca llutate th fact fo β. So the aout of α ad β fluece upo the optal obectve value of odel 4 ad at lat, t wll poe o optal oluto. If the aage had o uggeto fo the weght, the followg ctea would be hadled: R f x o 0, xo 0 othewe. ad yo f yo 0, R 0 othewe. whee R ax { x } ad R { y } fo evey ad. By ug above foulato, the weght wll be y elatve potace of put ad output. If thee o elatve potace betwee put ad output, the all weght ca be codeed wth the aout of 1 the odel. Fally, t hould be pad atteto that all data odel 4 ae oalzed. Fo oalzg, the followg defto ae eeded whch would be ued fo akg: x y x ad y. It hould be udeled hee that odel 4 ak oly extee ax { x } ax { y } effcet ut. Obvouly, the optal obectve value of odel 4 geate tha 1 fo thee ut ad t wll be 1 fo the othe. Theoe 2: Model 4 alway feable ad t optal obectve value bouded. Poof: 1, o To poof feablty defe: y y o 0 1 1,...,,, o hece w x 1,..., 0 o the z =0 fo all. If y y 0 the z y y, o o 1, o 1, o 1, o y y 0 the z y y, o o 1, o 1, o =1,...,. If =1,..., If obvou that thee oluto ae feable fo odel 4 ad the poof of feablty co To poof the ecod pat, ug oalzed data, 0 # w # 1 ad becaue of o-egatve: 1 0 w. Clealy 0 the w Slaly 1 1 z. 2956
6 Aut. J. Bac & Appl. Sc., 5(12): , 2011 w 1 [ 1 1 ] z, ad the poof copleted. Theoe 3: If R* = (λ*, W*, Z*) be a optal oluto of the ecet odel, the all of the followg cotat ae actve o R* a): x x, w 1,..., 1, o b): y y z, 1,..., 1, o o o (5) e, thee o lack optalty. Poof. By cotadcto, uppoe that oe of the cotat of (a) (e.g. the ft cotat) ot actve o R*. * * * x xo w. 1 ( x1 o w1) x1 1, o 1, o * * * * * * * * * Alo: The defe Theefoe w w w theaw w z w z ad t volatg wth optalty of (λ*, W*, Z*). Theefoe all cotat (a) ad (b) ae bdg fo evey optal oluto. I odel4 f w = w, = 1,..., ad z = 0, = 1,...,, the the MAJ odel wllbe cocluded. Slaly, f w = w, = 1,..., ad z = w, = 1,...,, the the odfed MAJ odel [14] wll be the coequet. It a follow: M 1 w St. x x, w 1,..., 1, o 1, o o y y, w 1,..., o 0, 1,...,, o (6) 4 Exaple: The etoed appoach gog to be appled by two data et. I the ft exaple, a data et cotucted to how poble of tadtoal akg odel. AP ad MAJ odel (ee table 1). The ecod exaple cot of 15 Fotue top US cte 1996 (ee table 3), (2004). 4.1 Exaple1: Code 28 (DMU) wth 3 put ad 3 output. Thee data ae uazed table 1: The eult of akg ae how table 2. I th exaple, all weght ae codeed wth the aout of 1. I the followg table S.AP ea the coe of AP odel ad R.AP ea the ak of AP odel etc. Code the ft effcet ut. It ha oly a zeo put t data, theefoe, t would be feable AP odel. Ut 2 ha a all put ecod copoet, hece AP odel utable fo th DMU ad t effcecy coe ot a eal oe. Ut 1 o-zeo t ft output ad all the othe ut ae zeo the 2957
7 Aut. J. Bac & Appl. Sc., 5(12): , 2011 copoet, o ut 1 feable MAJ odel. Obvouly, thee o poble fo the ew odel ad t alway feable ad table fo pecal data uch a the exaple. 4.2 Exaple2: Rakg of 15 US cte: Hee, hgh-ed houg pce (1000 US dolla) lowe-ed houg othly etal pce (US dolla) ad ube of volet ce, a thee DEA put ad eda houehold coe (US dolla), ube of people wth bachelo degee (llo) ad ube of docto (thou-ad) a thee DEA output evaluatg 15 US cte. Thee data ae uazed table 3: Table 1: Data DMU Iput 1 Iput 2 Iput 3 Output 1 Output 2 Output Table 2: The eult of akg Eff Ut S.AP R.AP S.MAJ R.MAJ S.ew odel R.ew odel DMU 1 Ifeable. - Ifeable DMU E DMU DMU DMU Table 3: Data of 15 US cte. DMU Iput 1 Iput 2 Iput 3 Output 1 Output 2 Output
8 Aut. J. Bac & Appl. Sc., 5(12): , 2011 Table 4: Relatve potace of put ad output. EFF ut α 1 α 2 α 3 β 1 β 2 β 3 DMU DMU DMU DMU DMU DMU DMU Table 5: The eult of akg. Eff Ut S.AP R.AP S.MAJ R.MAJ S.ew odel R.ew odel DMU DMU DMU DMU DMU DMU DMU By ug the etoed ctea, the weght α ad β fo each effcet DMU ae fgued out the followg table: The eult of akg cocluded fo 15 US cte ae how table 4. I the followg table S.AP ea coe of AP odel ad R.AP ea the ak of AP odel etc. Cocluo: I th pape a ew odel popoed ode to ak the extee effcet ut whch ae alway etcted ad feable. Oe of the advatage of the offeed odel t coopeatve featue fo the aage a well a codeg the dea evaluatg the ut. Futhe-oe, the odel ha o lack optalty, ad ot pobably, t doe t take place AP ad MAJ odel. I the ft exaple, ut 1 feable AP ad MAJ odel but t eached the hghet coe the ew odel.the AP odel fo ut 2 ot utable. A a cocluo, the ew odel ha eoved the poble of AP ad MAJ odel. REFERENCES Adle, N., L. Feda, Z. Suay-Ste, Revew of akg ethod the data evelopet aaly cotext. Euopea ual of opeatoal eeach, 140: Adle, N., B. Golay, Evaluato of deegulated ale etwok ug data evelopet aaly cobed wth pcple copoet aaly wth a applcato Wete Euope. Euopea Joual of Opeato Reeach, 132(2): Ateoo, A., G.R. Jahahahloo, S. Kodota, Rakg of deco akg ut data evelopet aaly: A dtace-baed appoach. Appled atheatc ad coputato., 171: Adeo, P., N.C. Petee, A pdocedue fo akg effcet ut data evelopet aaly. Maageet cece., 39(10): Bake, R.D., A. Chae, W.W. Coope, Soe odel fo etatg techcal ad cale effcece data evelopet aaly. Maageet Scece, 30(9): Chae, A., C.T. Clak, W.W. Coope, B. Golay, 1985a. A developet tudy of data evelopet aaly eaug the effcecy of ateace ut US a foce. Aal of Opeato Reeach, 2: Chae, A., W.W. Coope, B. Golay, L. Sefod, J. Stutz, 1985b. Foudato of data evelopet aaly fo Paeto-Koopa effcet epcal poducto fucto. Joual of Ecooetc, 30: Chae, A., W.W. Coope, E. Rhode, Meaug the effcecy of deco akg ut. Euopea Joual of Opeato Reeach, 2: Coope, W., L. Sefod, K. Toe, Data evelopet aaly a copeheve text wth Model applcato efeece, DEA olved oftwae. Thd Ptg. By Kluwe acadec publhe. Jahahahloo, G.R., F. Hoezadeh Lotf, N. Shoa, G. Tohd, S. Razava, Rakg ug L1 o data evelopet aaly. Appled atheatc ad coputatoal., 153(1):
9 Aut. J. Bac & Appl. Sc., 5(12): , 2011 Jahahahloo, G.R., L. Pouka, M. Zaepheh, odfed MAJ odel fo akg deco akg ut data evelopet aaly. Appled atheatc ad coputato., 174: Jahahahloo, G.R., M. Sae, F. Hoezadeh Lotf, N. Shoa,, Ug the gadet le fo akg DMU DEA. Appled atheatc ad coputato., 151(1): Mehaba, S., M.R. Alezaee, G.R. Jahahahloo, A coplete effcecy akg of deco akg ut data evelopet aaly. Coputatoal optzato ad applcato., 4: Saat, M.S., M. Zaafat Agz, G.R. Jahahahloo, A odel fo akg deco akg ut data evelopet aaly. Recca opeatva., pp: 31. Sexto, T.R., R.H. Slka, A.J. Hoga, Data evelopet aaly: Ctque ad exteo : Slka, R.H., (Ed), Meaug effcecy: A Aeet of Data evelopet aaly. Joy-Bath, Sa Facco, CA, pp: Shalg, L.., G.R. Jahahahloo, M. Khodabakhh, A upe-effcecy odel fo akg effcet ut data evelopet aly. Appled atheatc ad coputato. Atcle pe. Thopo, R.G., E. Lee, R.M. Thall, DEA/AR effcecy of US depedet ol/ga poduce ove te. Copute ad Opeato Reeach, 19(5): Toe, K., A lack-baed eaue of effcecy data evelopet Aaly. Euopea oual of opeatoal eeach, 130: Toe, K., A lack-bed eaue of effcecy data evelopet Aaly. Euopea oual of opeatoal eeach, 143: Yao Che, Rakg effcet ut DEA. Oega., 32:
An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach
[Type text] [Type text] [Type text] ISSN : 0974-7435 Volue 0 Iue 7 BoTechology 204 A Ida Joual FULL PAPER BTAIJ, 0(7), 204 [773-779] Supe-effcecy feablty ad zeo data DEA: A alteatve appoach Wag Q, Guo
More informationUniversity of Pavia, Pavia, Italy. North Andover MA 01845, USA
Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *
More informationEnhanced Russell measure in fuzzy DEA
140 It. J. Data Aaly Techque ad Statege, Vol. 2, No. 2, 2010 Ehaced Ruell eaue fuzzy DEA Meqag Wag* School of Maageet, Guzhou Uvety, Guyag 550025, PR Cha Fax: +86 851 6926767 E-al: wagq@al.utc.edu.c *Coepodg
More informationNONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS
HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, See A, OF HE ROMANIAN ACADEMY Volue 9, Nube 3/8,. NONDIFFERENIABLE MAHEMAICAL PROGRAMS. OPIMALIY AND HIGHER-ORDER DUALIY RESULS Vale PREDA Uvety
More informationCross Efficiency of Decision Making Units with the Negative Data in Data Envelopment Analysis
Pceedg f the 202 Iteatal Cfeece Idutal Egeeg ad Opeat Maageet Itabul, Tuey, July 3 6, 202 C Effcecy f Dec Mag Ut wth the Negatve Data Data Evelpet Aaly Ghae Thd Depatet f Matheatc Ilac Azad Uvety - Cetal
More informationAn Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment Analysis
Aeca Joual of Appled Sceces 8 (): 92-96, 20 ISSN 546-9239 200 Scece Publcatos A Ehaced Russell Measue of Supe-Effcecy fo Rakg Effcet Uts Data Evelopet Aalyss,2 Al Ashaf,,3 Az B Jaafa,,4 La Soo Lee ad,4
More informationChapter 2: Descriptive Statistics
Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate
More informationOn Eigenvalues of Nonlinear Operator Pencils with Many Parameters
Ope Scece Joual of Matheatc ad Applcato 5; 3(4): 96- Publhed ole Jue 5 (http://wwwopececeoleco/oual/oa) O Egevalue of Nolea Opeato Pecl wth May Paaete Rakhhada Dhabaadeh Guay Salaova Depatet of Fuctoal
More informationWORKING PAPER 2012/ Centralized resource reduction and target setting under DEA control
WORKING PAPER 202/ Cetalzed eouce educto ad taget ettg ude DEA cotol Adel Hata-Mab, Pe J. Agell Louva School of Maageet Fahad Hoezadeh Lotf, Koba Ghola, Zaha Ghele Beg Ilac Azad Uvety, LOUVAIN SCHOOL OF
More informationSpectral Problems of Two-Parameter System of Operators
Pue ad Appled Matheatc Joual 5; 4(4-: 33-37 Publhed ole Augut, 5 (http://wwwcecepublhggoupco//pa do: 648/pa5447 ISSN: 36-979 (Pt; ISSN: 36-98 (Ole Spectal Poble of Two-Paaete Syte of Opeato Rahhada Dhabaadeh
More informationThe Geometric Proof of the Hecke Conjecture
The Geometc Poof of the Hecke Cojectue Kada Sh Depatmet of Mathematc Zhejag Ocea Uvety Zhouha Cty 6 Zhejag Povce Cha Atact Begg fom the eoluto of Dchlet fucto ug the e poduct fomula of two fte-dmeoal vecto
More informationχ be any function of X and Y then
We have show that whe we ae gve Y g(), the [ ] [ g() ] g() f () Y o all g ()() f d fo dscete case Ths ca be eteded to clude fuctos of ay ube of ado vaables. Fo eaple, suppose ad Y ae.v. wth jot desty fucto,
More informationFIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES
Joual of Appled Matheatcs ad Coputatoal Mechacs 7, 6(), 59-7 www.ac.pcz.pl p-issn 99-9965 DOI:.75/jac.7..3 e-issn 353-588 FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL
More informationA note on A New Approach for the Selection of Advanced Manufacturing Technologies: Data Envelopment Analysis with Double Frontiers
A te A New Appach f the Select f Advaced Mafactg Techlge: Data Evelpet Aal wth Dble Fte He Azz Depatet f Appled Matheatc Paabad Mgha Bach Ilac Azad Uvet Paabad Mgha Ia hazz@apga.ac. Recetl g the data evelpet
More informationBorn-Oppenheimer Approximation. Kaito Takahashi
o-oppehee ppoato Kato Takahah toc Ut Fo quatu yte uch a ecto ad olecule t eae to ue ut that ft the=tomc UNT Ue a of ecto (ot kg) Ue chage of ecto (ot coulob) Ue hba fo agula oetu (ot kg - ) Ue 4pe 0 fo
More informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More information= y and Normed Linear Spaces
304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads
More informationThe Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof
MATEC Web of Cofeeces ICIEA 06 600 (06) DOI: 0.05/mateccof/0668600 The ea Pobablty Desty Fucto of Cotuous Radom Vaables the Real Numbe Feld ad Its Estece Poof Yya Che ad Ye Collee of Softwae, Taj Uvesty,
More informationReliability and Cost Analysis of a Series System Model Using Fuzzy Parametric Geometric Programming
P P P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Iue 8, October 204. Relablty ad Cot Aaly of a Sere Syte Model Ug Fuzzy Paraetrc Geoetrc Prograg Medhat El-Dacee P 2 2 P, Fahee
More informationDistribution of Geometrically Weighted Sum of Bernoulli Random Variables
Appled Mathematc, 0,, 8-86 do:046/am095 Publhed Ole Novembe 0 (http://wwwscrpog/oual/am) Dtbuto of Geometcally Weghted Sum of Beoull Radom Vaable Abtact Deepeh Bhat, Phazamle Kgo, Ragaath Naayaachaya Ratthall
More information( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi
Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)
More informationASYMPTOTICS OF THE GENERALIZED STATISTICS FOR TESTING THE HYPOTHESIS UNDER RANDOM CENSORING
IJRRAS 3 () Novembe www.apape.com/volume/vol3iue/ijrras_3.pdf ASYMPOICS OF HE GENERALIZE SAISICS FOR ESING HE HYPOHESIS UNER RANOM CENSORING A.A. Abduhukuov & N.S. Numuhamedova Natoal Uvety of Uzbekta
More informationSUBSEQUENCE CHARACTERIZAT ION OF UNIFORM STATISTICAL CONVERGENCE OF DOUBLE SEQUENCE
Reseach ad Coucatos atheatcs ad atheatcal ceces Vol 9 Issue 7 Pages 37-5 IN 39-6939 Publshed Ole o Novebe 9 7 7 Jyot cadec Pess htt//yotacadecessog UBEQUENCE CHRCTERIZT ION OF UNIFOR TTITIC CONVERGENCE
More informationare positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.
Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called
More informationOn EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx
Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.
More informationHarmonic Curvatures in Lorentzian Space
BULLETIN of the Bull Malaya Math Sc Soc Secod See 7-79 MALAYSIAN MATEMATICAL SCIENCES SOCIETY amoc Cuvatue Loetza Space NEJAT EKMEKÇI ILMI ACISALIOĞLU AND KĀZIM İLARSLAN Aaa Uvety Faculty of Scece Depatmet
More informationIntuitionistic Fuzzy Stability of n-dimensional Cubic Functional Equation: Direct and Fixed Point Methods
Ite. J. Fuzzy Mathematcal Achve Vol. 7 No. 205 - ISSN: 220 242 (P 220 250 (ole Publhed o2 Jauay 205 www.eeachmathc.og Iteatoal Joual of Itutotc Fuzzy Stablty of -Dmeoal Cubc Fuctoal Equato: Dect ad Fxed
More informationSome Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions
Global Joual o Scece Fote Reeach atheatc ad Deco Scece Volue Iue Veo Te : Double Bld ee Reewed Iteatoal Reeach Joual ublhe: Global Joual Ic SA Ole ISSN: 49-466 & t ISSN: 975-5896 Soe Itegal etag Bothogoal
More informationQuasi-Rational Canonical Forms of a Matrix over a Number Field
Avace Lea Algeba & Matx Theoy, 08, 8, -0 http://www.cp.og/joual/alamt ISSN Ole: 65-3348 ISSN Pt: 65-333X Qua-Ratoal Caocal om of a Matx ove a Numbe el Zhueg Wag *, Qg Wag, Na Q School of Mathematc a Stattc,
More informationInspection By Implicit Polynomials
Poceedg of ICIAP 999, Vece, Italy pp. 8-5 Ipecto By Iplct Polyoal * Ce ÜSALA ** Aytül ERÇĐL *Boğazç Uvet Dept. of Electcal & Electoc Egeeg uala@bou.edu.t **Boğazç Uvet Dept. of Idutal Egeeg ecl@bou.edu.t
More informationCS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1
CS473-Algorthm I Lecture b Dyamc Table CS 473 Lecture X Why Dyamc Table? I ome applcato: We do't kow how may object wll be tored a table. We may allocate pace for a table But, later we may fd out that
More informationOn the energy of complement of regular line graphs
MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira
More informationConsumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle
Thomas Soesso Mcoecoomcs Lecte Cosme theoy A. The efeece odeg B. The feasble set C. The cosmto decso A. The efeece odeg Cosmto bdle x ( 2 x, x,... x ) x Assmtos: Comleteess 2 Tastvty 3 Reflexvty 4 No-satato
More informationRelations for Moments of Kumaraswami Power Function Distribution Based on Ordered Random Variables and a Characterization
Relato fo Moet of Kuaawa Powe Fucto Dtbuto Baed o Odeed Rado Vaable ad a Chaactezato M. J. S. Kha, Sude Kua, Aay Kua Depatet of Stattc ad Opeato Reeach, Algah Mul Uvety, Alagh, Ida. Depatet of Appled Stattc,
More informationProfessor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More informationInternational Journal of Industrial Engineering Computations
Iteatoal Joal of Idtal Egeeg Coptato (200) 65-72 Cotet lt avalable at GowgScece Iteatoal Joal of Idtal Egeeg Coptato hoepage: www.gowgscece.co/ec A epcal tdy of Iaa egoal apot g obt data evelopet aaly
More informationMinimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index
Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,
More informationA GENERAL CLASS OF ESTIMATORS UNDER MULTI PHASE SAMPLING
TATITIC IN TRANITION-ew sees Octobe 9 83 TATITIC IN TRANITION-ew sees Octobe 9 Vol. No. pp. 83 9 A GENERAL CLA OF ETIMATOR UNDER MULTI PHAE AMPLING M.. Ahed & Atsu.. Dovlo ABTRACT Ths pape deves the geeal
More informationMath 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as
Math 7409 Hoewok 2 Fall 2010 1. Eueate the equivalece classes of siple gaphs o 5 vetices by usig the patte ivetoy as a guide. The cycle idex of S 5 actig o 5 vetices is 1 x 5 120 1 10 x 3 1 x 2 15 x 1
More informationChapter #2 EEE State Space Analysis and Controller Design
Chpte EEE8- Chpte # EEE8- Stte Spce Al d Cotolle Deg Itodcto to tte pce Obevblt/Cotollblt Modle ede: D D Go - d.go@cl.c.k /4 Chpte EEE8-. Itodcto Ae tht we hve th ode te: f, ', '',.... Ve dffclt to td
More informationA New Result On A,p n,δ k -Summabilty
OSR Joual of Matheatics (OSR-JM) e-ssn: 2278-5728, p-ssn:239-765x. Volue 0, ssue Ve. V. (Feb. 204), PP 56-62 www.iosjouals.og A New Result O A,p,δ -Suabilty Ripeda Kua &Aditya Kua Raghuashi Depatet of
More informationFairing of Parametric Quintic Splines
ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}
More informationsuch that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1
Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9
More informationLecture 10: Condensed matter systems
Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato
More informationCollapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder
Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,
More informationTrace of Positive Integer Power of Adjacency Matrix
Global Joual of Pue ad Appled Mathematcs. IN 097-78 Volume, Numbe 07), pp. 079-087 Reseach Ida Publcatos http://www.publcato.com Tace of Postve Itege Powe of Adacecy Matx Jagdsh Kuma Pahade * ad Mao Jha
More information1. Linear second-order circuits
ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of
More informationPartition and the Perfect Codes in the Additive Channel
Oe Joual of Dcete Matheatc 3 3 - htt://dxdoog/36/od333 Publhed Ole July 3 (htt://wwwcog/oual/od) Patto ad the Pefect ode the Addtve hael Gab Movya BI Gou Mocow Rua Eal: gab@fbtu Receved Mach 33; eved May
More informationOverview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition
ylcal aplace Soltos ebay 6 9 aplace Eqato Soltos ylcal Geoety ay aetto Mechacal Egeeg 5B Sea Egeeg Aalyss ebay 6 9 Ovevew evew last class Speposto soltos tocto to aal cooates Atoal soltos of aplace s eqato
More informationPhys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time
Py F. Oct., 7 Today Topc Beg Capte 6: Moe o Geometc Optc eadg fo Next Tme Homewok t Week HW # Homewok t week due Mo., Oct. : Capte 4: #47, 57, 59, 6, 6, 6, 6, 67, 7 Supplemetal: Tck ee ad e Sytem Pcple
More information2. Sample Space: The set of all possible outcomes of a random experiment is called the sample space. It is usually denoted by S or Ω.
Ut: Rado expeet saple space evets classcal defto of pobablty ad the theoes of total ad copoud pobablty based o ths defto axoatc appoach to the oto of pobablty potat theoes based o ths appoach codtoal pobablty
More informationOptimality Criteria for a Class of Multi-Objective Nonlinear Integer Programs
Coucatos Appled Sceces ISSN -77 Volue, Nube,, 7-77 Optalty Ctea o a Class o Mult-Obectve Nolea Itege Pogas Shal Bhagava Depatet o Matheatcs, Babu Shvath Agawal College, Mathua (UP) Ida Abstact hs pape
More informationStrong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA
Iteatioal Joual of Reseach i Egieeig ad aageet Techology (IJRET) olue Issue July 5 Available at http://wwwijetco/ Stog Result fo Level Cossigs of Rado olyoials Dipty Rai Dhal D K isha Depatet of atheatics
More informationA New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming
ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research
More informationJournal of Engineering and Natural Sciences Mühendislik ve Fen Bilimleri Dergisi FACTORIZATION PROPERTIES IN POLYNOMIAL EXTENSION OF UFR S
Joural of Egeerg ad Natural Scece Mühedl ve Fe Bller Derg Sga 25/2 FACTORIZATION PROPERTIES IN POLYNOMIAL EXTENSION OF UFR S Murat ALAN* Yıldız Te Üverte, Fe-Edebyat Faülte, Mateat Bölüü, Davutpaşa-İSTANBUL
More informationPositive Semi-Definite Correlation Matrices: Recursive Algorithmic Generation. and Volume Measure
Pue Matheatcal Scece Vol. 0 o. 7-49 Potve Se-Defte Coelato Matce: Recuve Algothc Geeato ad Volue Meaue Wee Hüla FRSGlobal Stelad Seefeldtae 69 CH-8008 Züch Stelad ee.huela@fglobal.co hula@blue.ch Abtact
More informationReview Article A Review of Ranking Models in Data Envelopment Analysis
Joural of Appled Matheatc Volue 2013, Artcle ID 492421, 20 page http://dx.do.org/10.1155/2013/492421 Revew Artcle A Revew of Rag Model Data Evelopet Aaly F. Hoezadeh Lotf, 1 G. R. Jahahahloo, 1 M. Khodabahh,
More informationVIII Dynamics of Systems of Particles
VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:
More informationA Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming
Aerca Joural of Operatos Research, 4, 4, 33-339 Publshed Ole Noveber 4 ScRes http://wwwscrporg/oural/aor http://ddoorg/436/aor4463 A Pealty Fucto Algorth wth Obectve Paraeters ad Costrat Pealty Paraeter
More informationANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY)
ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) Floet Smdche, Ph D Aocte Pofeo Ch of Deptmet of Mth & Scece Uvety of New Mexco 2 College Rod Gllup, NM 873, USA E-ml: md@um.edu
More informationˆ SSE SSE q SST R SST R q R R q R R q
Bll Evas Spg 06 Sggested Aswes, Poblem Set 5 ECON 3033. a) The R meases the facto of the vaato Y eplaed by the model. I ths case, R =SSM/SST. Yo ae gve that SSM = 3.059 bt ot SST. Howeve, ote that SST=SSM+SSE
More informationLinear Approximating to Integer Addition
Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for
More informationShabnam Razavyan 1* ; Ghasem Tohidi 2
J. Id. Eg. It., 7(5), 8-4, Fall 0 ISSN: 735-570 IAU, Sth Teha Bach Shaba Razava ; Ghae Thd Atat Pfe, Det. f Matheatc, Ilac Azad Uvet, Sth Teha Bach, Teha-Ia Atat Pfe, Det. f Matheatc, Ilac Azad Uvet, Cetal
More informationPolyphase Filters. Section 12.4 Porat
Polyphase Flters Secto.4 Porat .4 Polyphase Flters Polyphase s a way of dog saplg-rate coverso that leads to very effcet pleetatos. But ore tha that, t leads to very geeral vewpots that are useful buldg
More informationThe use of supply chain DEA models in operations management: A survey
MRA Much eoal Rec Achve The ue of upply cha A oel opeato aageet: A uvey Geoge Halko a Nckolao Tzeee a Stavo Koutz Uvety of Thealy epatet of cooc ue Ole at http://pa.ub.u-ueche.e/3846/ MRA ape No. 3846
More informationStrong Result for Level Crossings of Random Polynomials
IOSR Joual of haacy ad Biological Scieces (IOSR-JBS) e-issn:78-8, p-issn:19-7676 Volue 11, Issue Ve III (ay - Ju16), 1-18 wwwiosjoualsog Stog Result fo Level Cossigs of Rado olyoials 1 DKisha, AK asigh
More informationJournal of Engineering and Natural Sciences Mühendislik ve Fen Bilimleri Dergisi SOME PROPERTIES CONCERNING THE HYPERSURFACES OF A WEYL SPACE
Jou of Eee d Ntu Scece Mühed e Fe Be De S 5/4 SOME PROPERTIES CONCERNING THE HYPERSURFACES OF A EYL SPACE N KOFOĞLU M S Güze St Üete, Fe-Edeyt Füte, Mtet Böüü, Beştş-İSTANBUL Geş/Receed:..4 Ku/Accepted:
More informationTheory study about quarter-wave-stack dielectric mirrors
Theor tud about quarter-wave-tack delectrc rror Stratfed edu tratted reflected reflected Stratfed edu tratted cdet cdet T T Frt, coder a wave roagato a tratfed edu. A we kow, a arbtrarl olared lae wave
More informationA Convergence Analysis of Discontinuous Collocation Method for IAEs of Index 1 Using the Concept Strongly Equivalent
Appled ad Coputatoal Matheatcs 27; 7(-): 2-7 http://www.scecepublshggoup.co//ac do:.648/.ac.s.287.2 ISSN: 2328-565 (Pt); ISSN: 2328-563 (Ole) A Covegece Aalyss of Dscotuous Collocato Method fo IAEs of
More informationTwo-sided Matching Decision under Multi-granularity Uncertain Linguistic Environment
dvaced Scece ad echology Letter Vol. (NGCI 05), pp.5- http://dx.do.org/0.57/atl.05..08 wo-ded Matchg Deco uder Mult-graularty Ucerta Lgutc Evroet a Q Yue, Yogha Peg, gwe Yu, Yu Hog, b Qua Xao School of
More informationREVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION
REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I lear regreo, we coder the frequecy dtrbuto of oe varable (Y) at each of everal level of a ecod varable (X). Y kow a the depedet varable. The
More informationPROPOSING A NEW MODEL ON DATA ENVELOPMENT ANALYSIS BY CONSIDERING NON DISCRETIONARY FACTORS AND A REVIEW ON PREVIOUS MODELS. University,Tehran, Iran.
Maheacal ad Copuaoal Applcao, Vol. 5, No. 3, pp. 344-353, 200. Aocao fo Scefc Reeach PROPOSING A NEW MODEL ON DATA ENVELOPMENT ANALYSIS BY CONSIDERING NON DISCRETIONARY FACTORS AND A REVIEW ON PREVIOUS
More informationXII. Addition of many identical spins
XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.
More informationOn Almost Increasing Sequences For Generalized Absolute Summability
Joul of Applied Mthetic & Bioifotic, ol., o., 0, 43-50 ISSN: 79-660 (pit), 79-6939 (olie) Itetiol Scietific Pe, 0 O Alot Iceig Sequece Fo Geelized Abolute Subility W.. Suli Abtct A geel eult coceig bolute
More informationTriangles Technique for Time and Location Finding of the Lightning Discharge in Spherical Model of the Earth
Joual of Geocece ad Evomet Potecto 06 4 5-5 Publhed Ole Apl 06 ScRe http://wwwcpog/oual/gep http://dxdoog/046/gep064406 Tagle Techque fo Tme ad Locato Fdg of the Lghtg Dchage Sphecal Model of the Eath
More information21(2007) Adílson J. V. Brandão 1, João L. Martins 2
(007) 30-34 Recuece Foulas fo Fboacc Sus Adílso J. V. Badão, João L. Mats Ceto de Mateátca, Coputa cão e Cog cão, Uvesdade Fedeal do ABC, Bazl.adlso.badao@ufabc.edu.b Depataeto de Mateátca, Uvesdade Fedeal
More informationCIS 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 informationSYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations
SYSTEMS OF NON-LINEAR EQUATIONS Itoduto Gaphal Method Cloe Method Ope Method Polomal Root Stem o Multvaale Equato Chapte Stem o No-Lea Equato /. Itoduto Polem volvg o-lea equato egeeg lude optmato olvg
More informationPARAMETRIC STUDY ON PARETO, NASH MIN- MAX DIFFERENTIAL GAME
Euopea Scetc Joual Jauay 5 edto vol., No.3 ISSN: 857 788 (t) e - ISSN 857-743 ARAETRIC STUDY ON ARETO, NASH IN- AX DIFFERENTIAL GAE.S.Oma, o. th o Ramada Uvety, Egypt N.A. El-Kholy, D. Tata Uvety, Faculty
More informationProblem Set 3: Model Solutions
Ecoomc 73 Adaced Mcroecoomc Problem et 3: Model oluto. Coder a -bdder aucto wth aluato deedetly ad detcally dtrbuted accordg to F( ) o uort [,]. Let the hghet bdder ay the rce ( - k)b f + kb to the eller,
More informationKURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.
KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces
More information2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission
/0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power
More informationChapter Linear Regression
Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use
More informationDetection and Estimation Theory
ESE 54 Detecto ad Etmato Theoy Joeph A. O Sullva Samuel C. Sach Pofeo Electoc Sytem ad Sgal Reeach Laboatoy Electcal ad Sytem Egeeg Wahgto Uvety Ubaue Hall 34-935-473 (Lyda awe) jao@wutl.edu J. A. O'S.
More informationAbout solutions of nonlinear algebraic system with two variables
Pue a pple Matheatc Joual 3; ( : 3-37 Publhe ole Febuay 3(http:// www.cecepublhggoup.co/j/paj o:.648/j.paj.3.5 bout oluto of olea algebac yte wth two vaable Rahhaa Dzhabazaeh İttute Matheatc a Mechac of
More informationA PAIR OF HIGHER ORDER SYMMETRIC NONDIFFERENTIABLE MULTIOBJECTIVE MINI-MAXMIXED PROGRAMMING PROBLEMS
Iteatoal Joal of Cote Scece ad Cocato Vol. 3, No., Jaa-Je 0,. 9-5 A PAIR OF HIGHER ORDER SYMMERIC NONDIFFERENIABLE MULIOBJECIVE MINI-MAXMIXED PROGRAMMING PROBLEMS Aa Ka ath ad Gaat Dev Deatet of Matheatcs,
More informationLecture 24: Observability and Constructibility
ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio
More informationTHE TRUNCATED RANDIĆ-TYPE INDICES
Kragujeac J Sc 3 (00 47-5 UDC 547:54 THE TUNCATED ANDIĆ-TYPE INDICES odjtaba horba, a ohaad Al Hossezadeh, b Ia uta c a Departet of atheatcs, Faculty of Scece, Shahd ajae Teacher Trag Uersty, Tehra, 785-3,
More informationFinding Strong Defining Hyperplanes of Production. Possibility Set with Interval Data
Aled Matheatcal Scence, Vol 6, 22, no 4, 97-27 Fndng Stong Defnng Helane of Poducton Poblt Set wth Inteval Data F Hoenzadeh otf a *, G R Jahanhahloo a, S Mehaban b and P Zaan a a Deatent of Matheatc, Scence
More informationSimple Linear Regression Analysis
LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such
More informationON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE
O The Covegece Theoems... (Muslm Aso) ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE Muslm Aso, Yosephus D. Sumato, Nov Rustaa Dew 3 ) Mathematcs
More informationLECTURE 14. m 1 m 2 b) Based on the second law of Newton Figure 1 similarly F21 m2 c) Based on the third law of Newton F 12
CTU 4 ] NWTON W O GVITY -The gavity law i foulated fo two point paticle with ae and at a ditance between the. Hee ae the fou tep that bing to univeal law of gavitation dicoveed by NWTON. a Baed on expeiental
More informationAlgorithms behind the Correlation Setting Window
Algorths behd the Correlato Settg Wdow Itroducto I ths report detaled forato about the correlato settg pop up wdow s gve. See Fgure. Ths wdow s obtaed b clckg o the rado butto labelled Kow dep the a scree
More informationMultiple Choice Test. Chapter Adequacy of Models for Regression
Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to
More informationInternational Journal of Mathematics Trends and Technology (IJMTT) Volume 47 Number 1 July 2017
Iteatioal Joual of Matheatics Teds ad Techology (IJMTT) Volue 47 Nube July 07 Coe Metic Saces, Coe Rectagula Metic Saces ad Coo Fixed Poit Theoes M. Sivastava; S.C. Ghosh Deatet of Matheatics, D.A.V. College
More informationHomework Set 4 Physics 319 Classical Mechanics. m m k. x, x, x, x T U x x x x l 2. x x x x. x x x x
Poble 78 a) The agangian i Hoewok Set 4 Phyic 319 Claical Mechanic k b) In te of the cente of a cooinate an x x1 x x1 x xc x x x x x1 xc x xc x x x x x1 xc x xc x, x, x, x T U x x x x l 1 1 1 1 1 1 1 1
More informationRECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S
Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets
More informationObjectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method)
Ojectves 7 Statcs 7. Cete of Gavty 7. Equlum of patcles 7.3 Equlum of g oes y Lew Sau oh Leag Outcome (a) efe cete of gavty () state the coto whch the cete of mass s the cete of gavty (c) state the coto
More informationImage Enhancement: Histogram-based methods
Image Enhancement: Hitogam-baed method The hitogam of a digital image with gayvalue, i the dicete function,, L n n # ixel with value Total # ixel image The function eeent the faction of the total numbe
More informationComputational Material Chemistry. Kaito Takahashi Institute of Atomic and Molecular Sciences,
Coputatoal ateal Chesty Kato Takahash sttute of Atoc ad olecula Sceces kt@gate.sca.edu.tw A Udestad the basc theoy behd quatu chesty calculato Lea ug quatu chesty poga Udestad what the output s sayg Get
More information