Connected Directional Slack-Based Measure of. Efficiency in DEA
|
|
- Theresa Lester
- 6 years ago
- Views:
Transcription
1 Appled Mathematcal Scece, Vl. 6, 2012,. 5, Cected Dectal Slack-Baed Meaue f Effcecy DEA G. R. Jahahahl Faculty f Mathematcal Scece ad Cmpute Egeeg, Tabat Mallem Uvety, Teha, Ia F. Hezadeh Ltf Depatmet f Mathematc, Scece ad Reeach Bach, Ilamc Azad Uvety, Teha, Ia M. Mehdlzad Faculty f Mathematcal Scece ad Cmpute Egeeg, Tabat Mallem Uvety, Teha, Ia I. Rhd Depatmet f Mathematc, Scece ad Reeach Bach, Ilamc Azad Uvety, Teha, Ia Abtact I the hty f DEA, thee ae tw fudametal Radal ad N-adal appache f the effcecy meauemet. Each appach ha t w advatageu ad htcmg. Avka et al. (2008) pvded a ufed famewk, amed Cected-SBM, f lkg thee appache. I the peet pape, ft, baed the dectal dtace fuct we develp the Dectal Slack-Baed Meaue (DSBM) f effcecy ude Geealzed Retu t Scale Cepdg auth. E-mal addee: m.mehdlzad@gmal.cm (M. Mehdlzad),.hd@gmal.cm (I. Rhd)
2 238 G. R. Jahahahl et al (GRS) whch ha may attactve ppete. Secdly, emplyg the DSBM, we develp a geealzed fm f the Cected-SBM mdel, -called Cected-DSBM. Ou pped mdel me flexble tha the Cected-SBM mdel. I addt, the Cected-SBM ad may f the well-kw DEA mdel, e.g., the CCR, BCC, ERM ad SBM mdel, ae deved fm t. Keywd: DEA, Techcal Effcecy, Dectal Dtace Fuct, Dectal Slack-Baed Meaue f Effcecy, Bdgg Radal ad N-adal Meaue. 1 Itduct Data Evelpmet Aaly (DEA), gally develped by Chae et al. (1978) ad ubequetly exteded by Bake et al. (1984), a -paametc lea pgammg-baed methd t evaluate the elatve effcecy f a et f hmgeeu dec makg ut (DMU). Numeu applcat ecet yea have bee accmpaed by ew exte, mdfcat ad develpmet ccept ad methdlgy f DEA (See Sefd 1997 ad Emuzead 2008). Geeally peakg, the pevu eeach have bee pped baed the tw fudametal Radal ad N-adal appache f meaug the effcecy. The dea f adal pect date back t Debeu (1951) ad Faell (1957). Meawhle, the dea f -adal pect date back t Kpma (1951) ad Ruell (1985). The adal meaue (e.g., the CCR mdel: Chae et al. 1978) maly deal wth the pptal mpvemet put ad utput ad uffe fm the fllwg htcmg: Due t the pptal mpvg thee mdel, they ca t be emplyed f cae wth put uch a lab, mateal ad captal. They mt the -ze put ad utput lack ad theefe fal t accut f the -adal excee ad htfall. Thu, They d t ecealy lead t a effcet taget DEA. They d t allw ay flexblty f a DM t che a efeece ut f a effcet ut. They ae value fee,.e., effcecy evaluat baed the data avalable wthut takg t accut the dec-make (DM ) pefeece fmat. Depte the weakee, the adal meaue have a umbe f deable featue, e.g., the adal effcecy meaue ha a clea ecmc tepetat egadle f the pce. The -adal meaue cpate lack t cdeat. I the hty f DEA, thee ae eveal dffeet type f -adal mdel f techcal effcecy-baed pefmace evaluat. Chae et al. (1985) ft pped a addtve mdel a a -adal mdel. Cpe et al. (1999) al pped a -adal meaue, efeed t a Rage-Aduted Meaue (RAM), whch
3 Cected dectal lack-baed meaue 239 a exte f the addtve mdel (Cpe et al., 2000, 2001). Pat et al. (1999) deved a Ehaced Ruell Meaue (ERM) that cpated the aalytcal featue f Ruell meaue t the famewk f the SBM. Te (2001) pped the lack-baed meaue (SBM) f effcecy whch maxmze put ad utput lack. Althugh the -adal meaue the ptmal effcecy value accut f the -adal lack, the pected DMU may le the pptalty the gal. Theefe, they may uffe fm the fllwg htcmg: If the l f the gal pptalty apppate f the aaly, the th becme a htcmg f -adal. Whe we evaluate effcecy chage ve tme, the -ze patte f lack at tme ped t may gfcatly dffe fm that f tme ped t +1. Thu, we wll be uable t tell whch patte eaable. Athe htcmg f the -adal LP-baed meaue, e.g. the SBM mdel, that the ptmal lack ted t exhbt a hap ctat takg ptve ad ze value. (See Appedx A f Avka et al. 2008). I a efft t vecme the abve meted htcmg f the adal ad -adal mdel, Avka et al. (2008) tduced the Cected-SBM mdel whch clude tw cala paamete. They tated that a apppate chce f thee paamete, by elcatg the aaly aywhee betwee the adal ad -adal mdel, culd vecme the key htcmg the tw appache. I th pape, ft, baed the dectal dtace fuct we develp the Dectal Slack-Baed Meaue (DSBM) f effcecy ude Geealzed Retu t Scale (GRS) whch ha may attactve ppete. Secdly, emplyg DSBM, we develp a geealzed fm f the Cected-SBM mdel, -called Cected-DSBM. I huld be ted that u pped mdel me flexble tha the Cected-SBM mdel. I addt, th mdel ad may well-kw DEA mdel, e.g., the CCR, BCC, ERM ad SBM mdel, ae deved fm t. The emde f th pape gazed a fllw. I the ubequet ect, at ft, a bef evew f the dectal dtace fuct pvded. The, the Dectal Slack-Baed Meaue (DSBM) f effcecy tduced ad a detaled dcu abut the ppete ad featue f th meaue pvded. Sect 3 tduce the Cected Dectal Slack-Baed Meaue (Cected-DSBM) f effcecy. A llutatve example pvded Sect 4. Fally, the lat ect ummaze the eult ad cclude the pape ummay. 2 Radal ad N-Radal Dectal Dtace Fuct Thughut th pape, we deal wth DMU wth m put 1,..., m ad utput 1,...,. The put ad utput vect f DMU 1,...,, ae,..., T x x 1 x m ad y y y,..., T 1 whee x 0, x 0, y 0 ad y 0.The Pduct Pblty Set (PPS), T, the et f all feable put
4 240 G. R. Jahahahl et al ad utput vect ad t defed a fllw: T x, y : x ca pduce y. (1) The dectal dtace fuct, ecetly tduced by Chambe et al. (1996; 1998), a ve f Luebege htage fuct (Luebege 1992; 1995), whch geealze the tadtal Shephad dtace fuct (Shephad 1970) ad ad well-uted t the tak f pvdg a meaue f techcal effcecy the full put-utput pace. Th fuct pect a gve put-utput vect, x, y, adally fm telf t the fte f PPS, T, a pe-aged dect vect g g, g m T D x, y ; g, g Max x g, y g T., ad defed a: Th dtace fuct multaeuly eek t expad utput ad ctact put (See Fg.1). y (2) A g g, g A x Fg. 1 Dectal Dtace Fuct Ude the tadad aumpt f Iclu f bevat, cvexty, geeal etu t cale (GRS) 2 ad fee dpablty f put ad utput, the DMU = x, y, uque -empty PPS paed by beved DMU, 1, 2,...,, a fllw: G whee L 0 L 1 ad U 1 U. Ntce that L 0, U T x, y x X, y Y, L 1 U, 0. (3) ae uppe ad lwe bud f the um f cepd t the PPS wth Ctat Retu t Scale, T C, (Chae et al. 1978) ad L U 1 cepd t the PPS wth Vaable Retu t Scale, T V, (Bake et al. 1984). Nw, the DEA fmulat f the dectal dtace fuct elat t (3) becme Max. t. x x g, 1,2,..., m, 1 1 y y g, 1,2,...,, 2 F me detal abut GRS ee Cpe et al. (2007) pp
5 Cected dectal lack-baed meaue 241 L U, (4) 1 0, 1,2,...,. Althugh, pcple, uetcted g, t ptmal value wll eve be lve tha ze,.e. 0. Meve, f the dect vect g g, g ha bee elected uch that Max x g (5) 1, 1,...,,, e.g., e ca apply the fllwg dect vect: g x, g y,, f all,, (6) g x Max x, g y Max y, f all,, (7) the 1 ad 1 ca be tepeted a a effcecy meaue. A meted eale, the mdel (4) fal t take accut the extece f the -ze lack. T vecmg th pblem, we develp the dectal lack-baed meaue (DSBM) f effcecy, elat t T, a fllw: 1 1 m M m 1 1. t. x x g, 1,2,..., m, L y y g, 1,2,...,, U, 0, 1,2,...,, 0, 0, f all,. whee the dect vect g g, g atfe (5). Hee, ad epeet the ate f ctact ad expa the th put ad th utput f DMU whch ha bee pected t the effcet fte f T G the dect g. Futheme, the bectve fuct f (8) tly maxmze the value f 1,..., m ad 1,...,. Obvuly, e 1. I addt, ce x g 0, accdg t (5), we have 0e 1 ad, theefe, e ca be tepeted a a effcecy meaue. The ptmal value f (8), e, the effcecy ce f DMU ad baed t, we deteme a DMU a beg DSBM -effcet a fllw: Deft1. DMU ad t be DSBM-effcet f ad ly f 1. Th cdt equvalet t 0, f all, each ptmal lut f (8),.e., thee put effcecy (wate) ad utput effcecy (htfall) all put ad utput ay ptmal lut. G (8)
6 242 G. R. Jahahahl et al Remak1. The CCR mdel a pecal cae f the mdel (4) ad the ERM (Pat et al. 1999) ad the SBM (Te 2001) mdel ae pecal cae f the mdel (8) ad ca be ealy deved by agg the dect vect (6). Futhe, DMU DSBM-effcet f ad ly f t ERM-effcet. By electg a utable dect vect, the DSBM mdel wll have may attactve ppete that we utle them a fllw: (P1). Cmputatal apect Th mdel a factal pgammg pblem. Hweve, t ca be lved utlzg Chae Cpe tafmat (Chae ad Cpe 1962) the mla way a the SBM mdel. (P2). Cmpletee Th meaue cmplete, that t, ctat wth eted meaue, a -eted meaue ad cde all effcece acated wth the -ze lack that may be detfed by the mdel. (P3). Ut vaace By electg a dect vect uch that the th cmpet f g 1,..., m ad th cmpet f g 1,..., have the ame ut f meauemet a the th put ad th utput, epectvely, th mdel wll be ut vaat, e.g., the vect (6) ad (7) atfy th cdt. (P4). Icpatg Dec Make (DM ) pefeece fmat I me pactcal cae, f the DM de t equally pefe the effcet ut, the t eceay t cpate the DM udgmet a p kwledge t the cdeat. Accdg t the pefeece de f put/utput gve by DM, we ca flexbly mdfy vect g. Ideed, the value f the mdfed dect vect g cmpet decbe the elatve mptace f put/utput gve by DM. Let the -ze weght, w, 1,..., m ad v, 1,...,, ae acated wth the pte gve by DM t the put ad utput, epectvely uch that the lage the w ( v ), the me mptat the th put ( th utput). Afte cpatg thee weght (9), the ceffcet f vaable ad, the bectve fuct wll be w ad v, epectvely. Theefe, the cmpet f mdfed dect vect, g, huld be g g ad g g, whee 1/ w ad 1/ v. Th hw that f a put (utput) ha a lage mptace, t huld be attached a lage weght equvaletly mall dect cmpet. By cdeg (5), we mut have 1, 1,..., m, equvaletly w 1, 1,..., 3. (P5). Mtcty 3 If the gve weght d t atfy thee cdt, the malzed (dvdg by Max w : 1,..., m ) fm f them wll atfy thee cdt.
7 Cected dectal lack-baed meaue 243 The meaue tgly mte deceag each ad. 3 Cected Dectal Slack-Baed Meaue Smla the appach peeted Avka et al. (2008), we develp a ufcat f adal ad -adal dectal meaue a fllw: m 1 1 m 1 [Cected-DSBM] M t. x x g, 1,2,..., m, y y g, 1,2,...,, L U, 1,2,..., m, L U, 1,2,...,, L U, 1,2,...,, 1 I 0, 0, 1,2,...,, whee 0 L 1 U, 0 L 1 U, I 0,1 0, 0, 0, 0, f all,. ad g g, g (9) atfe (5). I th mdel, ug depedet -egatve vaable ad tgethe wth paamete L, L, U ad U, we ae able t ctl the pptalty f lack (effcece). I fact, cepd t the magtude whch L, L ae cle t U, U, the vaable, 1,..., m, ad, 1,...,, ted t be ufm. Specfcally, f L U 1 ad L U 1, the we have a full pptal mdel. Al, f 0 L U 0 L U, the a the paamete L ad U ( L ad U ) multaeuly deceae ad ceae, epectvely,.e. multaeuly L ad U ( L ad U ), the gal pptalty f put (utput) deceae accdgly ad the mdel ted t be -pptal. It huld be ted that the vaable ad play a develped le cmpa wth the le f vaable f the Cected-SBM. Meve, hee, the Paamete I emplyed a a ctlle f the pptalty ate betwee put ad utput. If I 1, the we wll have the ame ate f pptal educt ad cemet put ad utput, epectvely; thewe, f I 0, the the ate f pptal educt put may be dffe fm the ate f cemet utput. Cmpa wth the Cected-SBM: Ou appach a ueful geealzat f the Cected-SBM; ad t ca be deved eadly fm (9) by ettg, L 0,
8 244 G. R. Jahahahl et al U, L L I 0, 0 U, U. A ma dffeece betwee the tw appach that, ctat wth the Cected-SBM whch utlze a depedet vaable lack, ( f the aveage f malzed lack) a a etct fact f themelve, u appach emply tw depedet vaable, ad, a the etct fact put ad utput lack wheeby the flexblty f mdel ceae. Belw we ummaze me ppete ad bevat f the pped Cected-DSBM that ca be vefy wth eae: If L L 0, U U 0, I 1, the the Cected-DSBM mdel educe t a eved factal fm f the mdel (4) whee t bectve fuct 1 ad t ctat the mdel (4) ctat. 1 If L L I 0 ad U 0, U 0, the the Cected-DSBM mdel educe t the mdel (8). The adal put- utput-eted CCR ad BCC (Bake et al. 1984) mdel ad the -adal put-/utput-/-eted ERM ad SBM mdel ude GRS ae pecal cae f (9). Exte: Althugh we apply a cmm lwe bud acated wth all put/utput, e ca ue dvdual lwe bud L / U ad / L U acated wth put ad utput. If a put/utput allw ly mall vaat ppt, e ca et L ad U / L ad U cle t each the, ad vce vea. Thu, th exte allw me flexblty t the mdel. 4 Illutatve Example Th ect peet a umecal example de t pvde a llutat f the pped methd. By th example we hw that the Cected-SBM a pecal cae f the Cected-DSBM. Example1. Cde thee DMU A, B ad C wth tw put ad e utput a defed by Tab. 1. Thee data gally ha bee epted by Avka et al. (2008). DMU x 1 x 2 y A B C Tab. 1 DMU data (extacted fm Avka et al. 2008) Cde the mdel (9) the cae f L 0, U, I 0, L U 1, g x, y. The eult f evaluatg the ut C ug th mdel, wth dffeet value f L ad U, have bee epted Tab. 2.
9 Cected dectal lack-baed meaue 245 N-Radal Radal L U x x Tab. 2 The eult f example 1 A ca be ee Tab. 2, by allcatg dffeet value f the paamete L ad U, ad evaluatg ut C by Cected-DSBM, we ae able t pvde the ame epted eult the example f Avka et al. (2008), hweve, the cepdg value f the paamete the tw appach ae dffeet fm each the. Thu, the Cected-DSBM mdel a geealzed fm f the Cected-SBM mdel. 5 Cclu I th pape, we have pped a geealzed fm f the Cected-SBM mdel whch wa develped by Avka et al. (2008) t lk the tw fudametal adal ad -adal effcecy meauemet appache. I the pped methd, at ft, by emplyg the dectal dtace fuct, we develped a fmalzat f a cmplete effcecy dex, amed DSBM whch ha may attactve ppete. The, applyg the dea f bdgg adal ad -adal meaue, we exteded the DSBM mdel ad pped a geealzat f the Cected-SBM mdel, amed Cected-DSBM. A ted eale, u pped mdel me flexble tha the Cected-SBM mdel. I addt, Cected-SBM ad may well-kw DEA mdel, e.g, the CCR, BCC, ERM ad SBM mdel, ae deved fm t. Refeece [1] A. Chae, W. W. Cpe, B. Glay, L. Sefd, J. Stutz, Fudat f data evelpmet aaly f Paet-Kpma effcet empcal pduct fuct, Jual f Ecmetc, 30(1985), [2] A. Chae, W. W. Cpe, E. Rhde, Meaug the effcecy f dec makg ut, Eupea Jual f Opeatal Reeach, 2(1978), [3] A. Chae, W. W. Cpe, Pgammg wth lea factal fuctal, Naval Reeach Lgtc Quately, 15(1962), [4] A. Emuzead, B. R. Pake, G. Tavae, Evaluat f eeach effcecy ad pductvty: a uvey ad aaly f the ft 30 yea f chlaly lteatue DEA. Sc-Ecmc Plag Scece, 42(2008), [5] D. G. Luebege, Beeft fuct ad dualty, Jual f Mathematcal Ecmc, 21(1992), [6] D.G., Luebege, Mcecmc they, McGaw Hll, New Yk, 1995.
10 246 G. R. Jahahahl et al [7] G. Debeu, The ceffcet f euce utlzat, Ecmetca, 19(1951), [8] J. T. Pat, J. L. Ruz, I. Svet, A ehaced Ruell gaph effcecy meaue, Eupea Jual f Opeatal Reeach, 115(1999), [9] K. Te, A lack-baed meaue f effcecy data evelpmet aaly, Eupea Jual f Opeatal Reeach, 130(2001), [10] L. M. Sefd, A bblgaphy f data evelpmet aaly ( ), Aal f Opeat Reeach, 73(1997), [11] M.J. Faell, The meauemet f pductve effcecy, Jual f the Ryal Stattcal Scety, See A, 120 (Pat 3) (1957), [12] R. D. Bake, A. Chae, W. W. Cpe, Sme mdel f etmatg techcal ad cale effcece data evelpmet aaly, Maagemet Scece, 30(1984), [13] R. G. Chambe, Y. Chug, R. Fäe, Beeft ad dtace fuct, Jual f Ecmc They, 70(1996), [14] R. G. Chambe, Y. Chug, R. Fäe, Pft, Dectal dtace fuct, ad Nelva effcecy, Jual f Optmzat They ad Applcat, 98 (1998), [15] R. R. Ruell, Meaue f techcal effcecy, Jual f Ecmc They, 35(1985), [16] T. C. Kpma, A aaly f pduct a a effcet cmbat f actvte. I: Kpma TC, edt. Actvty aaly f pduct ad allcat. Wley, New Yk, [17] W. W. Cpe, K. S. Pak, J. T. Pat, Magal ate ad elatcte f ubttut wth addtve mdel DEA, Jual f Pductvty Aaly, 13(2000), [18] W. W. Cpe, K. S. Pak, J. T. Pat, RAM: a age aduted meaue f effcecy f ue wth addtve mdel ad elat t the mdel ad meaue DEA, Jual f Pductvty Aaly, 11(1999), [19] W. W. Cpe, K. S. Pak, J. T. Pat, The age aduted meaue (RAM) DEA: A epe t the cmmet by Stema ad Zwefel, Jual f Pductvty Aaly, 15(2001), [20] W. W. Cpe, L. M. Sefd, K. Te, Data Evelpmet Aaly: a cmpeheve text wth mdel, applcat, efeece ad DEA-lve ftwae (2d ed.), Spge, Bel, Receved: Augut, 2011
Cross 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 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 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 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 informationAn 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 informationChapter 3 Applications of resistive circuits
Chapte 3 pplcat f ete ccut 3. (ptal) eal uce mel, maxmum pwe tafe 3. mplfe mel ltage amplfe mel, cuet amplfe mel 3.3 Op-amp lea mel, etg p-amp, etg p-amp, ummg a ffeece p-amp 3.4-3.5 (ptal) teal p-amp
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 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 informationReview for the Mid-Term Exam
Revew f the Md-Tem am A54/MA4/M 59/ Spg 8 Depatmet f Mechacal & Aespace geeg Chapte Md-Tem Revew-6 Date: Mach (Thusda), 8 Tme: :pm-:pm Place: Rm, Neddema Hall Smple devat Md-Tem am Pat : 4 pblems Smple
More informationOnline Open Access publishing platform for Management Research. Copyright 2010 All rights reserved Integrated Publishing association
Ole Ope cce pblhg plaf f Maagee Reeach Cpgh 00 ll gh eeed Iegaed Pblhg aca Reeach cle ISSN 9 3795 c e f wegh dea eae effcec ad Idef pdc chage Fahad Hezadeh Lf l Paa Reza N Depae f Maheac Scece ad Reeach
More informationTests for cured proportion for recurrent event count data Uncensored case with covariates
IOSR Jual f Mathematc (IOSR-JM) e-issn: - -ISSN:9-X. Vlume Iue Ve. II (Ma-A. ) PP -9 www.jual.g Tet f cued t f ecuet evet cut data Uceed cae wth cvaate Sumath K ad Aua Ra K Deatmet f Mathematc Maal Ittute
More informationModelling and Control Design for a High Power Resonant DC-DC Converter
Mdellg ad Ctl Deg f a Hgh Pwe Reat DC-DC Cvete Chtph Hah #, Membe, IEEE, ad Pete Leh *, Se Membe, IEEE # Cha f Electcal Eegy Sytem, Uvety f Elage Nuembeg, Elage, Gemay chtph.hah@ee.u-elage.de * Depatmet
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 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 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 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 informationGoodness of Fit Tests of Laplace Distribution Using Selective Order Statistics
Iteatal Jual f Appled Egeeg Reseach ISSN 097-456 Vlume, Numbe 7 (08) pp 5508-554 Reseach Ida Publcats http://wwwpublcatcm Gdess f Ft Tests f Laplace Dstbut Usg Selectve Ode Statstcs Samee Ahmad Hasa Al-Subh
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 informationOptimization of the Electron Gun with a Permanent Ion Trap
4.3.-178 Optmzatn f the Electn Gun wth a Pemanent In Tap We Le Xabng Zhang Jn Dng Fe Dpla Technlg R&D CenteSutheat Unvet Nangjng Chna Danel den Engelen Pduct and Pce Develpment(PPD)LG.Phlp Dpla 5600 MD
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 informationInverse DEA Model with Fuzzy Data for Output Estimation
Aaabe e at www.. Iaa Ja Optat 2200 388-4 Iaa Ja Optat Iee DEA Mde wt F Data Otpt Etat A Mad Rad a Rea Dea a Faad Heade Lt b a Depatet Mateatc Iac Aad Uet Maedea Bac Ia b Depatet Mateatc Iac Aad Uet Scece
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 informationImproved Parameter Estimation in Rayleigh Model
etodološ zvez, Vol. 3, No., 6, 63-74 Impoved Paamete Etmato Raylegh odel Smal ahd Abtact I th pape we decbe ad peet eult o the paamete pot etmato fo the cale ad thehold paamete of the Raylegh dtbuto. Fve
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 informationRuin Probability in a Generalized Risk Process under Rates of Interest with Homogenous Markov Chain Claims and Homogenous Markov Chain Interests
Appld Mathmatc 3, 3(5: 85-97 DOI:.593/.am.335.5 u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt Quag Phug Duy Dpatmt f Mathmatc, Fg Tad Uvty, Ha, Vt Nam Abtact Th am f th pap
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 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 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 informationCh5 Appendix Q-factor and Smith Chart Matching
Ch5 Appedx -factr ad mth Chart Matchg 5B-1 We-Cha a udwg, F Crcut Deg hery ad Applcat, Chapter 8 -type matchg etwrk w-cmpet Matchg Netwrk hee etwrk ue tw reactve cmpet t trafrm the lad mpedace t the dered
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 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 informationThe Simple Linear Regression Model: Theory
Chapter 3 The mple Lear Regress Mdel: Ther 3. The mdel 3.. The data bservats respse varable eplaatr varable : : Plttg the data.. Fgure 3.: Dsplag the cable data csdered b Che at al (993). There are 79
More informationBasics of heteroskedasticity
Sect 8 Heterskedastcty ascs f heterskedastcty We have assumed up t w ( ur SR ad MR assumpts) that the varace f the errr term was cstat acrss bservats Ths s urealstc may r mst ecmetrc applcats, especally
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 informationHotelling s Rule. Therefore arbitrage forces P(t) = P o e rt.
Htelling s Rule In what fllws I will use the tem pice t dente unit pfit. hat is, the nminal mney pice minus the aveage cst f pductin. We begin with cmpetitin. Suppse that a fim wns a small pa, a, f the
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 informationQuestion 1. Typical Cellular System. Some geometry TELE4353. About cellular system. About cellular system (2)
TELE4353 Moble a atellte Commucato ystems Tutoal 1 (week 3-4 4 Questo 1 ove that fo a hexagoal geomety, the co-chael euse ato s gve by: Q (3 N Whee N + j + j 1/ 1 Typcal Cellula ystem j cells up cells
More informationAnnouncements Candidates Visiting Next Monday 11 12:20 Class 4pm Research Talk Opportunity to learn a little about what physicists do
Wed., /11 Thus., /1 Fi., /13 Mn., /16 Tues., /17 Wed., /18 Thus., /19 Fi., / 17.7-9 Magnetic Field F Distibutins Lab 5: Bit-Savat B fields f mving chages (n quiz) 17.1-11 Pemanent Magnets 18.1-3 Mic. View
More informationSection 4.2 Radians, Arc Length, and Area of a Sector
Sectin 4.2 Radian, Ac Length, and Aea f a Sect An angle i fmed by tw ay that have a cmmn endpint (vetex). One ay i the initial ide and the the i the teminal ide. We typically will daw angle in the cdinate
More informationExam-style practice: A Level
Exa-tye practce: A Leve a Let X dete the dtrbut ae ad X dete the dtrbut eae The dee the rad varabe Y X X j j The expected vaue Y : E( Y) EX X j j EX EX j j EX E X 7 The varace : Var( Y) VarX VarX j j Var(
More informationGeneralized Super Efficiency Model for Ranking Efficient Decision Making Units in Data Envelopment Analysis
Autala Joual of Bac ad Appled Scece, 5(12): 2952-2960, 2011 ISSN 1991-8178 Geealzed Supe Effcecy Model fo Rakg Effcet Deco Makg Ut Data Evelopet Aaly 1 M. Fallah Jeloda, 2 G.R. Jahahahloo, 2 F. Hoezadeh
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 informationResearch Article Radial Body Forces Influence on FGM and Non-FGM Cylindrical Pressure Vessels
Jual f Cmpstes Vlume 016, Atcle ID 398685, 18 pages http://dx.d.g/10.1155/016/398685 Reseach Atcle Radal Bdy Fces Ifluece FGM ad N-FGM Cyldcal Pessue Vessels Jacb Nagle IAF & NIRC, 335 Hafa, Isael Cespdece
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 informationOld Fashioned Descriptive Statistics You should come into the course already knowing these
Cmpuaal Publc ealh Sac Fmula (Pa ) Ve: Mach 007 Old Fahed Decpve Sac Yu huld cme he cu aleady kwg he Sac Paamee P Emae Fmula Iepea Ne / Dcu Sum f quae σ df ( x x) N eay epea. Mea μ x x x A meaue f ceal
More informationis needed and this can be established by multiplying A, obtained in step 3, by, resulting V = A x y =. = x, located in 1 st quadrant rotated about 2
Ct Cllege f New Yk MATH (Calculus Ntes) Page 1 f 1 Essental Calculus, nd edtn (Stewat) Chapte 7 Sectn, and 6 auth: M. Pak Chapte 7 sectn : Vlume Suface f evlutn (Dsc methd) 1) Estalsh the tatn as and the
More informationFEEDBACK AMPLIFIERS. β f
FEEDBC MPLFES X - X X X * What negatve eedback? ddng the eedback gnal t the nput a t patally cancel the nput gnal t the ample. * What eedback? Takng a ptn the gnal avng at the lad and eedng t back t the
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 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 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 informationECEN474/704: (Analog) VLSI Circuit Design Spring 2018
EEN474/704: (Anal) LSI cut De S 08 Lectue 8: Fequency ene Sa Pale Anal & Mxed-Sal ente Texa A&M Unety Annunceent & Aenda HW Due Ma 6 ead aza hate 3 & 6 Annunceent & Aenda n-suce A Fequency ene Oen-cut
More informationKR20 & Coefficient Alpha Their equivalence for binary scored items
KR0 & Coeffcet Alpha Ther equvalece for bary cored tem Jue, 007 http://www.pbarrett.et/techpaper/r0.pdf f of 7 Iteral Cotecy Relablty for Dchotomou Item KR 0 & Alpha There apparet cofuo wth ome dvdual
More informationSensorless A.C. Drive with Vector Controlled Synchronous Motor
Seole A.C. Dve wth Vecto Cotolle Sychoo Moto Ořej Fše VŠB-echcal Uvety of Otava, Faclty of Electcal Egeeg a Ifomatc, Deatmet of Powe Electoc a Electcal Dve, 17.ltoa 15, 78 33 Otava-Poba, Czech eblc oej.fe@vb.cz
More informationSelective Convexity in Extended GDEA Model
Appled Mathematcal Scences, Vl. 5, 20, n. 78, 386-3873 Selectve nvet n Etended GDEA Mdel Sevan Shaee a and Fahad Hssenadeh Ltf b a. Depatment f Mathematcs, ehan Nth Banch, Islamc Aad Unvest, ehan, Ian
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 informationExam 1. Sept. 22, 8:00-9:30 PM EE 129. Material: Chapters 1-8 Labs 1-3
Eam ept., 8:00-9:30 PM EE 9 Mateal: Chapte -8 Lab -3 tandadzaton and Calbaton: Ttaton: ue of tandadzed oluton to detemne the concentaton of an unknown. Rele on a eacton of known tochomet, a oluton wth
More informationProposing a Mixed Model Based on Stochastic Data Envelopment Analysis and Principal Component Analysis to Predict Efficiency
J. Bac. pp. Sc. Re. 0-0 0 0 TextRad Pcat ISSN 090-0 Ja f Bac ad pped Scetfc Reeach www.textad.c Ppg a Mxed Mde Baed Stchatc Data epet a ad Pcpa Cpet a t Pedct ffcec Yagh Mehd Bah Depatet f Idta geeg Teha
More informationCLUJ AND RELATED POLYNOMIALS IN BIPARTITE HYPERCUBE HYPERTUBES
SDIA UBB CHEMIA LXI Tom II 0 p. 8-9 RECOMMENDED CITATION Dedcated to Pofeo Eml Codoș o the occao of h 80 th aeay CLUJ AND RELATED POLYNOMIALS IN BIPARTITE HYPERCUBE HYPERBES MAHBOUBEH SAHELI a AMIR LOGHMAN
More informationImprecise DEA for Setting Scale Efficient Targets
Int. Jurnal f Math. Anali, Vl. 3, 2009, n. 6, 747-756 Imprecie DEA fr Setting Scale Efficient Target N. Malekmhammadi a, F. Heinzadeh Ltfi b and Azmi B Jaafar c a Intitute fr Mathematical Reearch, Univeriti
More informationThe Exponentiated Lomax Distribution: Different Estimation Methods
Ameca Joual of Appled Mathematcs ad Statstcs 4 Vol. No. 6 364-368 Avalable ole at http://pubs.scepub.com/ajams//6/ Scece ad Educato Publshg DOI:.69/ajams--6- The Expoetated Lomax Dstbuto: Dffeet Estmato
More informationPY3101 Optics. Learning objectives. Wave propagation in anisotropic media Poynting walk-off The index ellipsoid Birefringence. The Index Ellipsoid
The Ide Ellpsd M.P. Vaugha Learg bjectves Wave prpagat astrpc meda Ptg walk-ff The de ellpsd Brefrgece 1 Wave prpagat astrpc meda The wave equat Relatve permttvt I E. Assumg free charges r currets E. Substtutg
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 informationActive Load. Reading S&S (5ed): Sec. 7.2 S&S (6ed): Sec. 8.2
cte La ean S&S (5e: Sec. 7. S&S (6e: Sec. 8. In nteate ccuts, t s ffcult t fabcate essts. Instea, aplfe cnfuatns typcally use acte las (.e. las ae w acte eces. Ths can be ne usn a cuent suce cnfuatn,.e.
More informationME 3600 Control Systems Frequency Domain Analysis
ME 3600 Cntl Systems Fequency Dmain Analysis The fequency espnse f a system is defined as the steady-state espnse f the system t a sinusidal (hamnic) input. F linea systems, the esulting utput is itself
More information1. Elementary Electronic Circuits with a Diode
ecture 1: truct t electrc aal crcut 361-1-3661 1 1. Elemetary Electrc Crcut wth a e Euee Paer, 2008 HE M OF HE COUSE ume lear tme-arat () electrc crcut t re ay lut t the fllw fe tak (ee F. 1), whch are
More informationCentroid A Widely Misunderstood Concept In Facility Location Problems
teatal Jual f dustal Egeeg, 6, 99-7, 9. Cetd A Wdel Msudestd Ccept Faclt Lcat Pbles Wlla V. Gehle ad Mugd Pasc Alfed Lee Cllege f Busess ad Eccs Uvest f Delawae Alfed Lee Hall Newak, Delawae 976 dustal
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 informationCHAPTER 17. Solutions for Exercises. Using the expressions given in the Exercise statement for the currents, we have
CHATER 7 Slutin f Execie E7. F Equatin 7.5, we have B gap Ki ( t ) c( θ) + Ki ( t ) c( θ 0 ) + Ki ( t ) c( θ 40 a b c ) Uing the expein given in the Execie tateent f the cuent, we have B gap K c( ωt )c(
More informationSuper Efficiency with 2- Stage DEA Model
Sup Effccy wth 2- Stag DEA Md Sha Ea Put Dpatt f Mathatc, Uvty f Suata Utaa Mda, Ida Abtact DEA d tat a t f vauatd DMU ad u t tat th ffccy c by vauatg ach DMU a data t. Th ach dtd th w ch f 2-tag DEA d
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 informationCh. 3: Inverse Kinematics Ch. 4: Velocity Kinematics. The Interventional Centre
Ch. : Invee Kinemati Ch. : Velity Kinemati The Inteventinal Cente eap: kinemati eupling Apppiate f ytem that have an am a wit Suh that the wit jint ae ae aligne at a pint F uh ytem, we an plit the invee
More informationEuropean Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN
Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD
More informationConsider the simple circuit of Figure 1 in which a load impedance of r is connected to a voltage source. The no load voltage of r
1 Intductin t Pe Unit Calculatins Cnside the simple cicuit f Figue 1 in which a lad impedance f L 60 + j70 Ω 9. 49 Ω is cnnected t a vltage suce. The n lad vltage f the suce is E 1000 0. The intenal esistance
More informationThe fuzzy decision of transformer economic operation
The fuzzy decs f trasfrmer ecmc perat WENJUN ZHNG, HOZHONG CHENG, HUGNG XIONG, DEXING JI Departmet f Electrcal Egeerg hagha Jatg Uversty 954 Huasha Rad, 3 hagha P. R. CHIN bstract: - Ths paper presets
More informationEuropean Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN
Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD
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 informationA Fuzzy Mathematical Programming Approach to DEA Models
Aeca Ja f Apped Scece 5 (0): 352-357, 2008 ISSN 546-9239 2008 Scece Pbcat A Fzzy Matheatca Pgag Appach t DEA Mde A. Azadeh, S.F.Ghade, Z. Javahe ad 2 M. Sabe Depatet f Idta Egeeg ad Cete f Eceece f Iteget
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 informationChapter 7 Varying Probability Sampling
Chapte 7 Vayg Pobablty Samplg The smple adom samplg scheme povdes a adom sample whee evey ut the populato has equal pobablty of selecto. Ude ceta ccumstaces, moe effcet estmatos ae obtaed by assgg uequal
More informationWYSE Academic Challenge Sectional Mathematics 2006 Solution Set
WYSE Academic Challenge Sectinal 006 Slutin Set. Cect answe: e. mph is 76 feet pe minute, and 4 mph is 35 feet pe minute. The tip up the hill takes 600/76, 3.4 minutes, and the tip dwn takes 600/35,.70
More informationCS579 - Homework 2. Tu Phan. March 10, 2004
I! CS579 - Hmewk 2 Tu Phan Mach 10, 2004 1 Review 11 Planning Pblem and Plans The planning pblem we ae cnsideing is a 3-tuple descibed in the language whse syntax is given in the bk, whee is the initial
More informationDepartment of Economics University of Toronto. ECO2408F M.A. Econometrics. Lecture Notes on Simple Regression Model
Deprtmet f Ecmc Uvert f Trt ECO48F M.A. Ecmetrc Lecture Nte Smple Regre Mdel Smple Regre Mdel I the frt lecture we lked t fttg le t ctter f pt. I th chpter we eme regre methd f eplrg the prbbltc tructure
More informationCollege of Engineering Department of Electronics and Communication Engineering. Test 2 MODEL ANSWERS
Nae: tudet Nube: ect: ectue: z at Fazea zlee Jehaa y Jaalud able Nube: llee f ee eatet f lectcs ad ucat ee est O N, Y 050 ubject de : B73 use tle : lectcs alyss & es ate : uust 05 e llwed : hu 5 utes stucts
More informationSolutions of Schrödinger Equation with Generalized Inverted Hyperbolic Potential
Solto of Schödge Eqato wth Geealzed Ieted Hypebolc Potetal Akpa N.Ikot*,Oladjoye A.Awoga, Lo E.Akpabo ad Beedct I.Ita Theoetcal Phyc gop, Depatmet of Phyc,Uety of Uyo,Ngea. Theoetcal Qatm chemty gop,depatmet
More informationEntire Solution of a Singular Semilinear Elliptic Problem
JOURNAL OF MATEMATICAL ANALYSIS AND APPLICATIONS 200, 498505 1996 ARTICLE NO 0218 Etie Sluti f a Sigula Semiliea Elliptic Pblem Ala V Lai ad Aihua W Shae Depatmet f Mathematics ad Statistics, Ai Fce Istitute
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 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 informationα = normal pressure angle α = apparent pressure angle Tooth thickness measurement and pitch inspection
Tth thickess measuemet ad pitch ispecti Tth thickess measuemet Whe yu eshape a shavig cutte yu educe the chdal thickess f the teeth f a value icluded etwee 0.06 ad 0.10 mm. I fucti f this value yu have
More informationElectromagnetic Waves
Chapte 3 lectmagnetic Waves 3.1 Maxwell s quatins and ectmagnetic Waves A. Gauss s Law: # clsed suface aea " da Q enc lectic fields may be geneated by electic chages. lectic field lines stat at psitive
More informationSome Notes on the Probability Space of Statistical Surveys
Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty
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 informationSummary chapter 4. Electric field s can distort charge distributions in atoms and molecules by stretching and rotating:
Summa chapte 4. In chapte 4 dielectics ae discussed. In thse mateials the electns ae nded t the atms mlecules and cannt am fee thugh the mateial: the electns in insulats ae n a tight leash and all the
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 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 informationRanking Bank Branches with Interval Data By IAHP and TOPSIS
Rag Ba Braches wth terval Data By HP ad TPSS Tayebeh Rezaetazaa Departmet of Mathematcs, slamc zad Uversty, Badar bbas Brach, Badar bbas, ra Mahaz Barhordarahmad Departmet of Mathematcs, slamc zad Uversty,
More informationOn a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging
Appled Mathematcal Scece Vol. 3 9 o. 3 3-3 O a Trucated Erlag Queug Sytem wth Bul Arrval Balg ad Reegg M. S. El-aoumy ad M. M. Imal Departmet of Stattc Faculty Of ommerce Al- Azhar Uverty. Grl Brach Egypt
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 informationNon-axial symmetric loading on axial symmetric. Final Report of AFEM
No-axal symmetc loadg o axal symmetc body Fal Repot of AFEM Ths poject does hamoc aalyss of o-axal symmetc loadg o axal symmetc body. Shuagxg Da, Musket Kamtokat 5//009 No-axal symmetc loadg o axal symmetc
More informationdm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v
Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac,
More informationCE 561 Lecture Notes. Optimal Timing of Investment. Set 3. Case A- C is const. cost in 1 st yr, benefits start at the end of 1 st yr
CE 56 Letue otes Set 3 Optmal Tmg of Ivestmet Case A- C s ost. ost st y, beefts stat at the ed of st y C b b b3 0 3 Case B- Cost. s postpoed by oe yea C b b3 0 3 (B-A C s saved st yea C C, b b 0 3 Savg
More information