Simultaneous Estimation of Adjusted Rate of Two Factors Using Method of Direct Standardization
|
|
- Esmond Sherman
- 5 years ago
- Views:
Transcription
1 Biometics & Biosttistics Itetiol Joul Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Astct This ppe pesets the use of stddiztio o djustmet of tes d tios i compig two popultios usig sigle idices the th seies of specific tes o tios. Hee the ovell djusted cude te o the udjusted cude te fo two popultios will hve sme estimte iespective of the tue of the stdd popultio distiutio. These esults e otied i ll cses wheeve the two stdd distiutios e of the totl smple. I these cses the ovell djusted cude tes sed o the two sets of diectly djusted tes would e equl to ech othe, lthough ot ecessily lwys equl to the ovell udjusted cude te s is foud to e the cse hee. Howeve, if the stdd popultio distiutio chose fo give popultio is diffeet fom tht chose fo othe, the the two esultig estimted djusted o stddized cude tes would most likely ot e equl to ech othe. Volume 2 Issue Resech Aticle Deptmet of Sttistics, mdi Azikiwe Uivesity, igei 2 Deptmet of Idustil Mthemtics d Applied Sttistics, Eoyi Stte Uivesity, igei *Coespodig utho: Oyek ICA, Deptmet of Sttistics, mdi Azikiwe Uivesity, Awk, igei, Emil: Received: August 24, 205 Pulished: Octoe 27, 205 Keywods: Stddiztio; Adjusted specific; Udjusted cude te; Adjusted cude te; Rtios Itoductio Stddiztio o djustmet of tes d tios is ofte ecessy ecuse it is usully esie i compig two popultios, sy, to mke the compiso usig sigle summy idices the th seies of specific tes o tios. This ppoch lso helps void the polem of smll impecise d sometime o-existece of specific tes d tios [-3]. Stddiztio of tes d tios my e doe fo oly oe fcto o sevel fctos of clssifictio of citeio vile of iteest. I pticul if citeio vile o coditio is ssocited with ech of two fctos of clssifictio which my y themselves lso e ssocited with ech othe, the stddiztio of tes o tios my sometimes e ecessy fo clee lysis d ite-pesettio of esults to simulteously stddize o djust the tes fo the two fctos of clssifictio, fist specific to the levels o ctegoies of oe of the fctos coss the levels of the othe fcto, d the lso specific to the levels of the secod fcto sy holdig costt the levels, tht is fo ll levels o ctegoies of the fist fcto [4,5]. Resech iteest i this cse would e to idetify d mesue the septe effects of the two fctos of clssifictio o the citeio vile o coditio. This ppe poposes, develops d pesets fomtted systemtic sttisticl method fo this pupose. The poposed method Resech iteest hee is usig the diect method of stddiztio of tes to mesue o estimte the septe effects of two fctos of clssifictio which my e ssocited o the vile eig studied d to oti smple estimte of udjusted d djusted cude tes specific to the levels of ech of the fctos holdig the levels of the othe fcto of clssifictio costt. ow to develop the method of estimtio of diect stddized o djusted te, suppose A d B e two viles of clssifictio with d goups o levels espectively. Fctos A d B my e ssocited o elted. Resech iteest is to estimte the tes of occuece of citeio vile o coditio specific to ech of the levels of fcto A coss, tht is fo ll levels of fcto B d lso the tes of occuece of the specified coditio specific to ech of the levels of fcto B fo ll levels of fcto A s well s the coespodig mgil tes d ovell te. Suppose totl dom smple of size of suject e domly dw fom tecedet o pedisposig popultio C fo ll levels of fctos A d B of which ij is the ume of sujects t the i th level of fcto A d j th level of fcto B, fo i,2, j d j,2,,. Also suppose thee e totl of outcomes o cses i coditio o set D of cses fo ll levels of fctos A d B of which ij cses e t the i th level of fcto A d j th level of fcto B, fo i,2, j d j,2,, whee popultio D is possily suset of popultio C. ow the te of occuece of cses i popultio D s fuctio of cses i popultio C specific to the i th level of fcto A d j th level fcto B is Fo i,2, j ; j,2,. Let ij ij ij ; i. ij. j ij j i Sumit Muscipt Biom Biostt It J 205, 2(7): 0005
2 Pis i.( Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Copyight: 205 Oyek et l. 2/6 e espectively the totl o mgil ume of sujects o osevtios i popultio C t the i th level of fcto A d j th level of fcto B. Similly let e espectively the totl o mgil ume of cses o outcomes i popultio D t the i th level of fcto A d j th level of fcto B. The the estimted udjusted cude tes of occuece of cses o outcomes i popultio D s fuctio of outcomes i popultio C specific to the i th level of fcto A fo ll levels of fcto B fo ll levels of fcto A e espectively the tios Ad Fo i,2,.; j,2,. ote tht ;.3 i. ij. j ij j i ;. j 4 i. i.; udj. j; udj Theefoe the ovell udjusted cude te of occuece of evet D s fuctio of evet C fo ll levels of fctos A d B is As oted ove esech iteest is to oti stddized o djusted cude te specific to ech level of fcto A fo ll levels of fcto B d lso specific to ech level of fcto B fo ll levels of fcto A s well s the ovell djusted o stddized cude i.. j.(5) i.. j ij i j j i (6) i.. j ij i j j i udj. (7) te. To oti estimtes of djusted o stddized cude tes specific to ech level of fcto B fo ll levels of fcto A we use the popotiote distiutio of totl ume of osevtios. coss the levels o goups of fcto A, mely P is the witig fcto, fo i,2,,. Thus P is i. Similly to oti estimtes of djusted o stddized cude te specific to ech level of fcto A fo ll levels of fcto B we use the popotiote distiutios coss the levels o goups of fcto B, mely P sj the witig fcto, fo j,2,,. Thus P sj. j Hece the djusted o stddized cude te of coditio D s fuctio of popultio C specific to the j th level of fcto B fo ll levels of fcto A is Similly the djusted o stddized cude te of coditio D s fuctio of popultio C specific to the i th level of fcto A fo ll levels of fcto B is i.; dj. j; dj j We the oti the smple estimte of the ovell djusted cude te of coditio D s fuctio of popultio C fo ll levels of fctos A d B s.(8) (9) p is ij i p. sj ij.(0).() p p. s; dj dj is. i. sj. j i j 2 Cittio: Oyek ICA, Okeh UM (205) Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio. Biom Biostt It J 2(7): DOI: /ij
3 Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Copyight: 205 Oyek et l. 3/6 These esults e summized i Tle. Tle : Dt fomt fo Estimtio of Udjusted d Adjusted Rtes i two Fcto Stddiztio y Diect method. FACTOR B FACTOR A 2 Totl Popotio U djust djust ( ) 2 2. ( ( )) ( ( )).... ( p sj ).;dj.;dj.;dj.. 2 ( ) 2 2 ( ) 2 2 ( ) ;dj ;dj ( ) 2 2 ps. p s ( ) ( ). ;.. j. ; j dj. j ; dj.. Totl ( ( ). j. j ) ( ).. ( ) ( )..... popotio ( sj ) p p p s 2 s 2 p.. s U djust... j ; dj.udj.. Adjust (. j ; udj ).; dj. ;dj. ; dj. udj ;dj Cittio: Oyek ICA, Okeh UM (205) Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio. Biom Biostt It J 2(7): DOI: /ij
4 Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Copyight: 205 Oyek et l. 4/6 I tle the eties i ech of the cells e the ume of cses i coditio D the ume of osevtios i popultio D d the tios of these umes. Illusttive Exmple We ow illustte the poposed method with the smple dt of Tle 2 o pemtue d live iths y ith ode d ge of mothe i ceti popultio. Tle 2: Smple Dt o Pemtue d Live iths y Bith ode d Mtel ge i popultio. Bith Ode Mtel Age Totl ( ( )) i.. Popotio of totl iths ( p is ) Ude 20 (23) 3(72) 3(32) (43) 0(33) 8(203) (329) 5(327) 7(76) 3(69) 8(67) 47(968) (5) (209) (207) 6(32) 6(23) 40(786) (78) 8(83) 0(7) 9(98) 2(50) 43(526) (42) 8(56) (90) 4(56) 3(04) 40(348) d ove 3(34) 4(457) 8(72) 0(48) 4(68) 29(267) Totl ( ). j. j 42(62) 49(792) 47(694) 45(446) 33(545) 27(3098) Popotio of totl iths ( p sj ) The dt of Tle 2 is used to oti estimtes of the udjusted d djusted cude te specific to ech of the levels o goups of the two fctos of clssifictio. Specificlly to estimte djusted o stddized cude tes specific to ith ode, we pply the popotiote distiutio of the totl life iths coss mtel ge s the stdd popultio, mely p is i the lst colum of Tle 2 to ech of the colums of tes, p s of the Tle, fo j,2,3,4,5.similly to estimte djusted o stddize cude te specific to Mtel ge we pply the popotiote distiutio of totl life iths coss ith ode p s the stdd popultio, mely sj i the lst ow of Tle 2 to ech of the ows of tes, ps of the Tle, fo i,2,3,4,5,6.the esults e peseted i Tle 3. Cittio: Oyek ICA, Okeh UM (205) Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio. Biom Biostt It J 2(7): DOI: /ij
5 Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Copyight: 205 Oyek et l. 5/6 Tle 3: Simulteous Estimtes of Udjusted Adjusted Pemtue Bith tes y mtel ge d Bith ode: Diect Stddiztio Bith Ode Mtel Age Popotio of totl ith ( p is ) i i 2 2 i3 3 i4 4 (.; ) d 5+ Udjusted cude te ( ).; dj Adjusted cude te ( ).; dj less th d ove Popotio of totl ith ( p ) Udjusted cudete ( ). j ; udj Adjusted cude te ( ). j ; dj j Cittio: Oyek ICA, Okeh UM (205) Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio. Biom Biostt It J 2(7): DOI: /ij
6 Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Copyight: 205 Oyek et l. 6/6 Summy d Coclusio The djusted cude te of pemtue iths specific to ith ode fo ll ge goups show i the lst ow of Tle 3 e estimted usig equtio 0,while the coespodig djusted cude te specific to mtel ge fo ll ith odes show i the lst colum of Tle 3 e estimted usig equtio. Thus the lst two ows of Tle 3 show tes specific fo ith ode d diectly djusted fo mtel ge, with the stdd mtel ge distiutio of iths eig tht of the totl smple of iths. The lst two colums of the Tle show tes specific fo mtel ge d diectly djusted fo ith ode, with the stdd ith ode distiutio of ith eig tht of totl smple of iths. The estimted djusted specific pemtue ith te of Tle 3 seem to idicte tht icidece of pemtue iths my ot e stogly ssocited with ith ode, ut my poly e some how ssocited with icesig mtel ge, especilly fom ge 25 yes. The ovell djusted cude pemtue ith te is estimted to e sevelly 70 pe 000 live iths whethe the stdd popultio distiutio is eithe the popotiote distiutio of totl ith y ith ode o y mtel ge. The udjusted cude te is lso hee estimted to e 70 pe 000 live iths. These esults e usully the cse wheeve the two stdd distiutios e those of the totl smple. I these cses the ovell djusted cude tes sed o the two sets of diectly djusted tes would e equl to ech othe, lthough ot ecessily lwys equl to the ovell udjusted cude te s is foud to e the cse hee. Howeve, if the stdd popultio distiutio chose fo popultio A (hee mtel ge)is diffeet fom tht chose fo fcto B(hee ith ode),the the two esultig estimted djusted o stddized cude tes would most lively ot e equl to ech othe. Ackowledgemet oe. Coflict of Iteest oe. Refeeces. Fleiss JL (98) Sttisticl Method fo Rtes d popotios (2d ed), ew Yok:Joh Wiley & Sos. 2. Pepe MS (2003) The Sttisticl Evlutio of Medicl Tests fo Clssifictio d Pedictio. Oxfod sttisticl seies 28, Oxfod: Uivesity Pess, U.K.; 3. Geeeg RS, Diels SR, Fldes WD, Eley JW d Boig JR (200) Medicl Epidemiology, Lodo: Lge-McGw-Hill. 4. Coch WG (950) The compiso of pecetges i mtched smples, Biometik 37: Gio JD (97) o Pmetic Sttisticl Ifeece McGw Hill Ic. Cittio: Oyek ICA, Okeh UM (205) Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio. Biom Biostt It J 2(7): DOI: /ij
Summary: Binomial Expansion...! r. where
Summy: Biomil Epsio 009 M Teo www.techmejcmth-sg.wes.com ) Re-cp of Additiol Mthemtics Biomil Theoem... whee )!!(! () The fomul is ville i MF so studets do ot eed to memoise it. () The fomul pplies oly
More informationPROGRESSION AND SERIES
INTRODUCTION PROGRESSION AND SERIES A gemet of umbes {,,,,, } ccodig to some well defied ule o set of ules is clled sequece Moe pecisely, we my defie sequece s fuctio whose domi is some subset of set of
More informationBINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.)
BINOMIAL THEOREM SOLUTION. (D) ( + + +... + ) (+ + +.) The coefficiet of + + + +... + fo. Moeove coefficiet of is + + + +... + if >. So. (B)... e!!!! The equied coefficiet coefficiet of i e -.!...!. (A),
More informationSOLUTIONS ( ) ( )! ( ) ( ) ( ) ( )! ( ) ( ) ( ) ( ) n r. r ( Pascal s equation ). n 1. Stepanov Dalpiaz
STAT UIU Pctice Poblems # SOLUTIONS Stepov Dlpiz The followig e umbe of pctice poblems tht my be helpful fo completig the homewo, d will liely be vey useful fo studyig fo ems...-.-.- Pove (show) tht. (
More informationSULIT 3472/2. Rumus-rumus berikut boleh membantu anda menjawab soalan. Simbol-simbol yang diberi adalah yang biasa digunakan.
SULT 347/ Rumus-umus eikut oleh memtu d mejw sol. Simol-simol yg diei dlh yg is diguk. LGER. 4c x 5. log m log m log 9. T d. m m m 6. log = log m log 0. S d m m 3. 7. log m log m. S, m m logc 4. 8. log.
More informationOn Certain Classes of Analytic and Univalent Functions Based on Al-Oboudi Operator
Boig Itetiol Joul o t Miig, Vol, No, Jue 0 6 O Ceti Clsses o Alytic d Uivlet Fuctios Bsed o Al-Oboudi Opeto TV Sudhs d SP Viylkshmi Abstct--- Followig the woks o [, 4, 7, 9] o lytic d uivlet uctios i this
More informationFourier-Bessel Expansions with Arbitrary Radial Boundaries
Applied Mthemtics,,, - doi:./m.. Pulished Online My (http://www.scirp.og/jounl/m) Astct Fouie-Bessel Expnsions with Aity Rdil Boundies Muhmmd A. Mushef P. O. Box, Jeddh, Sudi Ai E-mil: mmushef@yhoo.co.uk
More informationFor this purpose, we need the following result:
9 Lectue Sigulities of omplex Fuctio A poit is clled sigulity of fuctio f ( z ) if f ( z ) is ot lytic t the poit. A sigulity is clled isolted sigulity of f ( z ), if f ( z ) is lytic i some puctued disk
More informationME 501A Seminar in Engineering Analysis Page 1
Fobeius ethod pplied to Bessel s Equtio Octobe, 7 Fobeius ethod pplied to Bessel s Equtio L Cetto Mechicl Egieeig 5B Sei i Egieeig lsis Octobe, 7 Outlie Review idte Review lst lectue Powe seies solutios/fobeius
More informationM5. LTI Systems Described by Linear Constant Coefficient Difference Equations
5. LTI Systes Descied y Lie Costt Coefficiet Diffeece Equtios Redig teil: p.34-4, 245-253 3/22/2 I. Discete-Tie Sigls d Systes Up til ow we itoduced the Fouie d -tsfos d thei popeties with oly ief peview
More informationChapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s:
Chpte 7 Kleene s Theoem 7.1 Kleene s Theoem The following theoem is the most impotnt nd fundmentl esult in the theoy of FA s: Theoem 6 Any lnguge tht cn e defined y eithe egul expession, o finite utomt,
More informationEXERCISE - 01 CHECK YOUR GRASP
EXERISE - 0 HEK YOUR GRASP 3. ( + Fo sum of coefficiets put ( + 4 ( + Fo sum of coefficiets put ; ( + ( 4. Give epessio c e ewitte s 7 4 7 7 3 7 7 ( 4 3( 4... 7( 4 7 7 7 3 ( 4... 7( 4 Lst tem ecomes (4
More informationAdvanced Higher Maths: Formulae
Advced Highe Mths: Fomule Advced Highe Mthemtics Gee (G): Fomule you solutely must memoise i ode to pss Advced Highe mths. Rememe you get o fomul sheet t ll i the em! Ame (A): You do t hve to memoise these
More information2002 Quarter 1 Math 172 Final Exam. Review
00 Qute Mth 7 Fil Exm. Review Sectio.. Sets Repesettio of Sets:. Listig the elemets. Set-uilde Nottio Checkig fo Memeship (, ) Compiso of Sets: Equlity (=, ), Susets (, ) Uio ( ) d Itesectio ( ) of Sets
More informationUSE OF STATISTICAL TECHNIQUES FOR CRITICAL GAPS ESTIMATION
Sessio 1. Sttistic Methods d Thei Applictios Poceedigs of the 12 th Itetiol Cofeece Relibility d Sttistics i Tspottio d Commuictio (RelStt 12, 17 20 Octobe 2012, Rig, Ltvi, p. 20 26. ISBN 978-9984-818-49-8
More informationSOME REMARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOMIAL ASYMPTOTE
D I D A C T I C S O F A T H E A T I C S No (4) 3 SOE REARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOIAL ASYPTOTE Tdeusz Jszk Abstct I the techg o clculus, we cosde hozotl d slt symptote I ths ppe the
More informationMATH Midterm Solutions
MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca
More information( ) D x ( s) if r s (3) ( ) (6) ( r) = d dr D x
SIO 22B, Rudnick dpted fom Dvis III. Single vile sttistics The next few lectues e intended s eview of fundmentl sttistics. The gol is to hve us ll speking the sme lnguge s we move to moe dvnced topics.
More informationChapter 7 Infinite Series
MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2
More informationPROBLEMS AND PROPERTIES OF A NEW DIFFERENTIAL OPERATOR (Masalah dan Sifat-sifat suatu Pengoperasi Pembeza Baharu)
Joul of Qulity Mesuemet d Alysis JQMA 7 0 4-5 Jul Peguu Kuliti d Alisis PROBLEMS AND PROPERTIES OF A NEW DIFFERENTIAL OPERATOR Mslh d Sift-sift sutu Pegopesi Peme Bhu MASLINA DARUS & IMRAN FAISAL ABSTRACT
More informationSection IV.6: The Master Method and Applications
Sectio IV.6: The Mster Method d Applictios Defiitio IV.6.1: A fuctio f is symptoticlly positive if d oly if there exists rel umer such tht f(x) > for ll x >. A cosequece of this defiitio is tht fuctio
More informationI. Exponential Function
MATH & STAT Ch. Eoetil Fuctios JCCSS I. Eoetil Fuctio A. Defiitio f () =, whee ( > 0 ) d is the bse d the ideedet vible is the eoet. [ = 1 4 4 4L 4 ] ties (Resf () = is owe fuctio i which the bse is the
More informationFig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg
ymmetricl Compoets equece impedces Although the followig focuses o lods, the results pply eqully well to lies, or lies d lods. Red these otes together with sectios.6 d.9 of text. Cosider the -coected lced
More informationThe total number of permutations of S is n!. We denote the set of all permutations of S by
DETERMINNTS. DEFINITIONS Def: Let S {,,, } e the set of itegers from to, rrged i scedig order. rerrgemet jjj j of the elemets of S is clled permuttio of S. S. The totl umer of permuttios of S is!. We deote
More informationSemiconductors materials
Semicoductos mteils Elemetl: Goup IV, Si, Ge Biy compouds: III-V (GAs,GSb, ISb, IP,...) IV-VI (PbS, PbSe, PbTe,...) II-VI (CdSe, CdTe,...) Tey d Qutey compouds: G x Al -x As, G x Al -x As y P -y III IV
More informationSection 6.3: Geometric Sequences
40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.
More informationU>, and is negative. Electric Potential Energy
Electic Potentil Enegy Think of gvittionl potentil enegy. When the lock is moved veticlly up ginst gvity, the gvittionl foce does negtive wok (you do positive wok), nd the potentil enegy (U) inceses. When
More informationElectronic Supplementary Material
Electonic Supplementy Mteil On the coevolution of socil esponsiveness nd behvioul consistency Mx Wolf, G Snde vn Doon & Fnz J Weissing Poc R Soc B 78, 440-448; 0 Bsic set-up of the model Conside the model
More informationMathematical Statistics
7 75 Ode Sttistics The ode sttistics e the items o the dom smple ed o odeed i mitude om the smllest to the lest Recetl the impotce o ode sttistics hs icesed owi to the moe equet use o opmetic ieeces d
More informationWeek 8. Topic 2 Properties of Logarithms
Week 8 Topic 2 Popeties of Logithms 1 Week 8 Topic 2 Popeties of Logithms Intoduction Since the esult of ithm is n eponent, we hve mny popeties of ithms tht e elted to the popeties of eponents. They e
More information10 Statistical Distributions Solutions
Communictions Engineeing MSc - Peliminy Reding 1 Sttisticl Distiutions Solutions 1) Pove tht the vince of unifom distiution with minimum vlue nd mximum vlue ( is ) 1. The vince is the men of the sques
More informationPOWER SERIES R. E. SHOWALTER
POWER SERIES R. E. SHOWALTER. sequeces We deote by lim = tht the limit of the sequece { } is the umber. By this we me tht for y ε > 0 there is iteger N such tht < ε for ll itegers N. This mkes precise
More informationTests for Correlation on Bivariate Non-Normal Data
Jounl of Moden Applied Sttisticl Methods Volume 0 Issue Aticle 9 --0 Tests fo Coeltion on Bivite Non-Noml Dt L. Bevesdof Noth Colin Stte Univesity, lounneb@gmil.com Ping S Univesity of Noth Floid, ps@unf.edu
More informationAdvanced Higher Maths: Formulae
: Fomule Gee (G): Fomule you bsolutely must memoise i ode to pss Advced Highe mths. Remembe you get o fomul sheet t ll i the em! Ambe (A): You do t hve to memoise these fomule, s it is possible to deive
More informationIn the case of a third degree polynomial we took the third difference and found them to be constants thus the polynomial difference holds.
Jso Mille 8 Udestd the piciples, popeties, d techiques elted to sequece, seies, summtio, d coutig sttegies d thei pplictios to polem solvig. Polomil Diffeece Theoem: f is polomil fuctio of degee iff fo
More informationMichael Rotkowitz 1,2
Novembe 23, 2006 edited Line Contolles e Unifomly Optiml fo the Witsenhusen Counteexmple Michel Rotkowitz 1,2 IEEE Confeence on Decision nd Contol, 2006 Abstct In 1968, Witsenhusen intoduced his celebted
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 information«A first lesson on Mathematical Induction»
Bcgou ifotio: «A fist lesso o Mtheticl Iuctio» Mtheticl iuctio is topic i H level Mthetics It is useful i Mtheticl copetitios t ll levels It hs bee coo sight tht stuets c out the poof b theticl iuctio,
More informationRiemann Integral and Bounded function. Ng Tze Beng
Riem Itegrl d Bouded fuctio. Ng Tze Beg I geerlistio of re uder grph of fuctio, it is ormlly ssumed tht the fuctio uder cosidertio e ouded. For ouded fuctio, the rge of the fuctio is ouded d hece y suset
More informationFI 2201 Electromagnetism
FI 1 Electomgnetism Alexnde A. Isknd, Ph.D. Physics of Mgnetism nd Photonics Resech Goup Electosttics ELECTRIC PTENTIALS 1 Recll tht we e inteested to clculte the electic field of some chge distiution.
More informationGRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1.
GRAPHING LINEAR EQUATIONS Qudrt II Qudrt I ORDERED PAIR: The first umer i the ordered pir is the -coordite d the secod umer i the ordered pir is the y-coordite. (, ) Origi ( 0, 0 ) _-is Lier Equtios Qudrt
More informationPreviously. Extensions to backstepping controller designs. Tracking using backstepping Suppose we consider the general system
436-459 Advnced contol nd utomtion Extensions to bckstepping contolle designs Tcking Obseves (nonline dmping) Peviously Lst lectue we looked t designing nonline contolles using the bckstepping technique
More informationParametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip
Pmeti Methods Autoegessive AR) Movig Avege MA) Autoegessive - Movig Avege ARMA) LO-.5, P-3.3 to 3.4 si 3.4.3 3.4.5) / Time Seies Modes Time Seies DT Rdom Sig / Motivtio fo Time Seies Modes Re the esut
More informationA Study on the Relation between Alarm Deadbands and Optimal Alarm Limits *
Ameic Cotol Cofeece o O'Fell Steet, S Fcisco, CA, USA Jue 9 - July, A Study o the Reltio betwee Alm Dedbds d Optiml Alm Limits * Elhm Nghoosi, Im Izdi, d Togwe Che Abstct- Usig lm dedbds is commo method
More informationDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3
DEPATMENT OF CIVIL AND ENVIONMENTAL ENGINEEING FLID MECHANICS III Solutions to Poblem Sheet 3 1. An tmospheic vote is moelle s combintion of viscous coe otting s soli boy with ngul velocity Ω n n iottionl
More informationNotes 17 Sturm-Liouville Theory
ECE 638 Fll 017 Dvid R. Jckso Notes 17 Sturm-Liouville Theory Notes re from D. R. Wilto, Dept. of ECE 1 Secod-Order Lier Differetil Equtios (SOLDE) A SOLDE hs the form d y dy 0 1 p ( x) + p ( x) + p (
More informationMath 4318 : Real Analysis II Mid-Term Exam 1 14 February 2013
Mth 4318 : Rel Anlysis II Mid-Tem Exm 1 14 Febuy 2013 Nme: Definitions: Tue/Flse: Poofs: 1. 2. 3. 4. 5. 6. Totl: Definitions nd Sttements of Theoems 1. (2 points) Fo function f(x) defined on (, b) nd fo
More informationThe Area of a Triangle
The e of Tingle tkhlid June 1, 015 1 Intodution In this tile we will e disussing the vious methods used fo detemining the e of tingle. Let [X] denote the e of X. Using se nd Height To stt off, the simplest
More informationMark Scheme (Results) January 2008
Mk Scheme (Results) Jnuy 00 GCE GCE Mthemtics (6679/0) Edecel Limited. Registeed in Englnd nd Wles No. 4496750 Registeed Office: One90 High Holbon, London WCV 7BH Jnuy 00 6679 Mechnics M Mk Scheme Question
More informationChapter 2 Infinite Series Page 1 of 9
Chpter Ifiite eries Pge of 9 Chpter : Ifiite eries ectio A Itroductio to Ifiite eries By the ed of this sectio you will be ble to uderstd wht is met by covergece d divergece of ifiite series recogise geometric
More informationRange Symmetric Matrices in Minkowski Space
BULLETIN of the Bull. alaysia ath. Sc. Soc. (Secod Seies) 3 (000) 45-5 LYSIN THETICL SCIENCES SOCIETY Rae Symmetic atices i ikowski Space.R. EENKSHI Depatmet of athematics, amalai Uivesity, amalaiaa 608
More informationMulti-Electron Atoms-Helium
Multi-lecto Atos-Heliu He - se s H but with Z He - electos. No exct solutio of.. but c use H wve fuctios d eegy levels s sttig poit ucleus sceeed d so Zeffective is < sceeig is ~se s e-e epulsio fo He,
More information1.3 Continuous Functions and Riemann Sums
mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be
More informationSupplementary materials. Suzuki reaction: mechanistic multiplicity versus exclusive homogeneous or exclusive heterogeneous catalysis
Geeal Pape ARKIVOC 009 (xi 85-03 Supplemetay mateials Suzui eactio: mechaistic multiplicity vesus exclusive homogeeous o exclusive heteogeeous catalysis Aa A. Kuohtia, Alexade F. Schmidt* Depatmet of Chemisty
More informationπ,π is the angle FROM a! TO b
Mth 151: 1.2 The Dot Poduct We hve scled vectos (o, multiplied vectos y el nume clled scl) nd dded vectos (in ectngul component fom). Cn we multiply vectos togethe? The nswe is YES! In fct, thee e two
More informationf(t)dt 2δ f(x) f(t)dt 0 and b f(t)dt = 0 gives F (b) = 0. Since F is increasing, this means that
Uiversity of Illiois t Ur-Chmpig Fll 6 Mth 444 Group E3 Itegrtio : correctio of the exercises.. ( Assume tht f : [, ] R is cotiuous fuctio such tht f(x for ll x (,, d f(tdt =. Show tht f(x = for ll x [,
More informationInternational Journal of Performability Engineering Vol. 11, No. 1, January 2015, pp RAMS Consultants Printed in India
Itetiol Joul of Pefombility Egieeig Vol. No. Juy 05 pp. 7-80. RAMS Cosultts Pited i Idi Optimum Time-Cesoed Step-Stess PALTSP with Competig Cuses of Filue Usig Tmpeed Filue Rte Model PREETI WANTI SRIVASTAVA
More informationx a y n + b = 1 0<b a, n > 0 (1.1) x 1 - a y = b 0<b a, n > 0 (1.1') b n sin 2 + cos 2 = 1 x n = = cos 2 6 Superellipse (Lamé curve)
6 Supeellipse (Lmé cuve) 6. Equtios of supeellipse A supeellipse (hoizotlly log) is epessed s follows. Implicit Equtio y + b 0 0 (.) Eplicit Equtio y b - 0 0 (.') Whe 3, b, the supeellipses fo
More informationSecond Mean Value Theorem for Integrals By Ng Tze Beng. The Second Mean Value Theorem for Integrals (SMVT) Statement of the Theorem
Secod Me Vlue Theorem for Itegrls By Ng Tze Beg This rticle is out the Secod Me Vlue Theorem for Itegrls. This theorem, first proved y Hoso i its most geerlity d with extesio y ixo, is very useful d lmost
More informationANSWER KEY PHYSICS. Workdone X
ANSWER KEY PHYSICS 6 6 6 7 7 7 9 9 9 0 0 0 CHEMISTRY 6 6 6 7 7 7 9 9 9 0 0 60 MATHEMATICS 6 66 7 76 6 6 67 7 77 7 6 6 7 7 6 69 7 79 9 6 70 7 0 90 PHYSICS F L l. l A Y l A ;( A R L L A. W = (/ lod etesio
More informationEinstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : ,
MSS SEQUENCE AND SERIES CA SEQUENCE A sequece is fuctio of tul ubes with codoi is the set of el ubes (Coplex ubes. If Rge is subset of el ubes (Coplex ubes the it is clled el sequece (Coplex sequece. Exple
More informationInterpolation. 1. What is interpolation?
Iterpoltio. Wht is iterpoltio? A uctio is ote give ol t discrete poits such s:.... How does oe id the vlue o t other vlue o? Well cotiuous uctio m e used to represet the + dt vlues with pssig through the
More informationPLANCESS RANK ACCELERATOR
PLANCESS RANK ACCELERATOR MATHEMATICS FOR JEE MAIN & ADVANCED Sequeces d Seies 000questios with topic wise execises 000 polems of IIT-JEE & AIEEE exms of lst yes Levels of Execises ctegoized ito JEE Mi
More informationINFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1
Appedix A.. Itroductio As discussed i the Chpter 9 o Sequeces d Series, sequece,,...,,... hvig ifiite umber of terms is clled ifiite sequece d its idicted sum, i.e., + + +... + +... is clled ifite series
More informationPROGRESSIONS AND SERIES
PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.
More informationReview of Mathematical Concepts
ENEE 322: Signls nd Systems view of Mthemticl Concepts This hndout contins ief eview of mthemticl concepts which e vitlly impotnt to ENEE 322: Signls nd Systems. Since this mteil is coveed in vious couses
More informationConditional Convergence of Infinite Products
Coditioal Covegece of Ifiite Poducts William F. Tech Ameica Mathematical Mothly 106 1999), 646-651 I this aticle we evisit the classical subject of ifiite poducts. Fo stadad defiitios ad theoems o this
More informationClass Summary. be functions and f( D) , we define the composition of f with g, denoted g f by
Clss Summy.5 Eponentil Functions.6 Invese Functions nd Logithms A function f is ule tht ssigns to ech element D ectly one element, clled f( ), in. Fo emple : function not function Given functions f, g:
More informationA general theory of minimal increments for Hirsch-type indices and applications to the mathematical characterization of Kosmulski-indices
Mlysi Jourl of Librry & Iformtio Sciece, Vol. 9, o. 3, 04: 4-49 A geerl theory of miiml icremets for Hirsch-type idices d pplictios to the mthemticl chrcteriztio of Kosmulski-idices L. Egghe Uiversiteit
More informationOptimization. x = 22 corresponds to local maximum by second derivative test
Optimiztion Lectue 17 discussed the exteme vlues of functions. This lectue will pply the lesson fom Lectue 17 to wod poblems. In this section, it is impotnt to emembe we e in Clculus I nd e deling one-vible
More informationis an ordered list of numbers. Each number in a sequence is a term of a sequence. n-1 term
Mthemticl Ptters. Arithmetic Sequeces. Arithmetic Series. To idetify mthemticl ptters foud sequece. To use formul to fid the th term of sequece. To defie, idetify, d pply rithmetic sequeces. To defie rithmetic
More informationGeneral properties of definite integrals
Roerto s Notes o Itegrl Clculus Chpter 4: Defiite itegrls d the FTC Sectio Geerl properties of defiite itegrls Wht you eed to kow lredy: Wht defiite Riem itegrl is. Wht you c ler here: Some key properties
More informationEigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x):
Eigefuctio Epsio: For give fuctio o the iterl the eigefuctio epsio of f(): f ( ) cmm( ) m 1 Eigefuctio Epsio (Geerlized Fourier Series) To determie c s we multiply oth sides y Φ ()r() d itegrte: f ( )
More informationUNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering
UNIT V: -TRANSFORMS AND DIFFERENCE EQUATIONS D. V. Vllimml Deptmet of Applied Mthemtics Si Vektesw College of Egieeig TOPICS:. -Tsfoms Elemet popeties.. Ivese -Tsfom usig ptil fctios d esidues. Covolutio
More informationCh 26 - Capacitance! What s Next! Review! Lab this week!
Ch 26 - Cpcitnce! Wht s Next! Cpcitnce" One week unit tht hs oth theoeticl n pcticl pplictions! Cuent & Resistnce" Moving chges, finlly!! Diect Cuent Cicuits! Pcticl pplictions of ll the stuff tht we ve
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 informationInference on One Population Mean Hypothesis Testing
Iferece o Oe Popultio Me ypothesis Testig Scerio 1. Whe the popultio is orml, d the popultio vrice is kow i. i. d. Dt : X 1, X,, X ~ N(, ypothesis test, for istce: Exmple: : : : : : 5'7" (ull hypothesis:
More informationAbout Some Inequalities for Isotonic Linear Functionals and Applications
Applied Mthemticl Sciences Vol. 8 04 no. 79 8909-899 HIKARI Ltd www.m-hiki.com http://dx.doi.og/0.988/ms.04.40858 Aout Some Inequlities fo Isotonic Line Functionls nd Applictions Loedn Ciudiu Deptment
More informationExpansion by Laguerre Function for Wave Diffraction around an Infinite Cylinder
Joul of Applied Mthemtics d Physics, 5, 3, 75-8 Published Olie Juy 5 i SciRes. http://www.scip.og/joul/jmp http://dx.doi.og/.436/jmp.5.3 Expsio by Lguee Fuctio fo Wve Diffctio oud Ifiite Cylide Migdog
More information n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2!
mth power series, prt ii 7 A Very Iterestig Emple Oe of the first power series we emied ws! + +! + + +!! + I Emple 58 we used the rtio test to show tht the itervl of covergece ws (, ) Sice the series coverges
More informationConvergence rates of approximate sums of Riemann integrals
Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsuku Tsuku Irki 5-857 Jp tski@mth.tsuku.c.jp Keywords : covergece rte; Riem sum; Riem
More informationSOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES
#A17 INTEGERS 9 2009), 181-190 SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES Deick M. Keiste Depatmet of Mathematics, Pe State Uivesity, Uivesity Pak, PA 16802 dmk5075@psu.edu James A. Selles Depatmet
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 informationAN INEQUALITY OF GRÜSS TYPE FOR RIEMANN-STIELTJES INTEGRAL AND APPLICATIONS FOR SPECIAL MEANS
RGMIA Reserch Report Collectio, Vol., No., 998 http://sci.vut.edu.u/ rgmi/reports.html AN INEQUALITY OF GRÜSS TYPE FOR RIEMANN-STIELTJES INTEGRAL AND APPLICATIONS FOR SPECIAL MEANS S.S. DRAGOMIR AND I.
More informationProgression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.
Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a
More informationGeneralized Fibonacci-Lucas Sequence
Tuish Joual of Aalysis ad Numbe Theoy, 4, Vol, No 6, -7 Available olie at http://pubssciepubcom/tjat//6/ Sciece ad Educatio Publishig DOI:6/tjat--6- Geealized Fiboacci-Lucas Sequece Bijeda Sigh, Ompaash
More informationChapter System of Equations
hpter 4.5 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee
More informationTaylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best
Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =
More informationRadial geodesics in Schwarzschild spacetime
Rdil geodesics in Schwzschild spcetime Spheiclly symmetic solutions to the Einstein eqution tke the fom ds dt d dθ sin θdϕ whee is constnt. We lso hve the connection components, which now tke the fom using
More informationSection 7.3, Systems of Linear Algebraic Equations; Linear Independence, Eigenvalues, Eigenvectors (the variable vector of the system) and
Sec. 7., Boyce & DiPrim, p. Sectio 7., Systems of Lier Algeric Equtios; Lier Idepedece, Eigevlues, Eigevectors I. Systems of Lier Algeric Equtios.. We c represet the system...... usig mtrices d vectors
More informationLanguage Processors F29LP2, Lecture 5
Lnguge Pocessos F29LP2, Lectue 5 Jmie Gy Feuy 2, 2014 1 / 1 Nondeteministic Finite Automt (NFA) NFA genelise deteministic finite utomt (DFA). They llow sevel (0, 1, o moe thn 1) outgoing tnsitions with
More informationf(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a.
Eercise 5 For y < A < B, we hve B A f fb B d = = A B A f d f d For y ɛ >, there re N > δ >, such tht d The for y < A < δ d B > N, we hve ba f d f A bb f d l By ba A A B A bb ba fb d f d = ba < m{, b}δ
More informationCounting Functions and Subsets
CHAPTER 1 Coutig Fuctios ad Subsets This chapte of the otes is based o Chapte 12 of PJE See PJE p144 Hee ad below, the efeeces to the PJEccles book ae give as PJE The goal of this shot chapte is to itoduce
More informationComplementary Dual Subfield Linear Codes Over Finite Fields
1 Complemetay Dual Subfield Liea Codes Ove Fiite Fields Kiagai Booiyoma ad Somphog Jitma,1 Depatmet of Mathematics, Faculty of Sciece, Silpao Uivesity, Naho Pathom 73000, hailad e-mail : ai_b_555@hotmail.com
More informationProject 3: Using Identities to Rewrite Expressions
MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht
More informationGeneral Physics II. number of field lines/area. for whole surface: for continuous surface is a whole surface
Genel Physics II Chpte 3: Guss w We now wnt to quickly discuss one of the moe useful tools fo clculting the electic field, nmely Guss lw. In ode to undestnd Guss s lw, it seems we need to know the concept
More informationNumerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1
Numeril Methods Leture 5. Numeril itegrtio dr h. iż. Ktrzy Zkrzewsk, pro. AGH Numeril Methods leture 5 Outlie Trpezoidl rule Multi-segmet trpezoidl rule Rihrdso etrpoltio Romerg's method Simpso's rule
More information{ } { S n } is monotonically decreasing if Sn
Sequece A sequece is fuctio whose domi of defiitio is the set of turl umers. Or it c lso e defied s ordered set. Nottio: A ifiite sequece is deoted s { } S or { S : N } or { S, S, S,...} or simply s {
More informationn 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1
Ifiite Series Some Tests for Divergece d Covergece Divergece Test: If lim u or if the limit does ot exist, the series diverget. + 3 + 4 + 3 EXAMPLE: Show tht the series diverges. = u = + 3 + 4 + 3 + 3
More informationReview of Sections
Review of Sectios.-.6 Mrch 24, 204 Abstrct This is the set of otes tht reviews the mi ides from Chpter coverig sequeces d series. The specific sectios tht we covered re s follows:.: Sequces..2: Series,
More information