University of Bath DOI: /S Publication date: Document Version Peer reviewed version. Link to publication

Size: px
Start display at page:

Download "University of Bath DOI: /S Publication date: Document Version Peer reviewed version. Link to publication"

Transcription

1 Ctaton fo ublshed veson: Has, D, Havey, DI, Leyboune, S & Sakkas,, 'Local asymtotc owe of the Im-Pesaan-Shn anel unt oot test and the mact of ntal obsevatons' Econometc Theoy, vol. 6, no.,. -4. htts://do.og/.7/s DOI:.7/S Publcaton date: Document Veson Pee evewed veson Lnk to ublcaton Unvesty of ath Geneal ghts Coyght and moal ghts fo the ublcatons made accessble n the ublc otal ae etaned by the authos and/o othe coyght ownes and t s a condton of accessng ublcatons that uses ecognse and abde by the legal euements assocated wth these ghts. Take down olcy If you beleve that ths document beaches coyght lease contact us ovdng detals, and we wll emove access to the wok mmedately and nvestgate you clam. Download date:. Ma. 9

2 Local Asymtotc Powe of the Im-Pesaan-Shn Panel Unt Root Test and the Imact of Intal Obsevatons Davd Has, Davd I. Havey, Stehen J. Leyboune ;y and kolaos D. Sakkas Deatment of Economcs, Unvesty of Melboune School of Economcs, Unvesty of ottngham Mach 8 Abstact In ths note we deve the local asymtotc owe functon of the standadzed aveaged Dckey- Fulle anel unt oot statstc of Im, Pesaan and Shn (, Jounal of Econometcs, 5, 5-74), allowng fo heteogeneous detemnstc ntecet tems. We consde the stuaton whee the devaton of the ntal obsevaton fom the undelyng ntecet tem n each ndvdual tme sees may not be asymtotcally neglgble. We nd that owe deceases monotoncally as the absolute values of the ntal condtons ncease n magntude, n dect contast to the unvaate case. Fnte samle smulatons con m the elevance of ths esult fo actcal alcatons, demonstatng that the owe of the test can be vey low fo values of T and tycally encounteed n actce. Intoducton In ths note we consde the lage samle behavou of the standadzed aveaged Dckey-Fulle (DF) unt oot test of Im, Pesaan and Shn () (IPS) fo anels allowng heteogeneous detemnstc ntecet tems. We deve the local asymtotc owe functon fo ths statstc whee the tme sees dmenson T! followed by the coss-sectonal dmenson!. Allowance s made fo the fact that the devaton of the ntal obsevaton fom the undelyng ntecet tem (efeed to as the ntal condton) n each ndvdual tme sees may not be asymtotcally neglgble, theeby genealzng the unvaate model of Mülle and Ellott () to the anel envonment. We nd that the local asymtotc owe functon of the IPS statstc s a monotoncally deceasng functon of the magntude of the absolute values of the ntal condtons. Moeove, local asymytotc owe falls below the nomnal sze of the IPS test fo lausble values of the absolute ntal condtons. Ths behavou s n dect contast to the unvaate case, whee Mülle and Ellott () demonstate that the local asymtotc owe of the DF statstc s an nceasng functon of the absolute ntal condton. To show that ou lage samle esults ae of moe than just theoetcal nteest, we sulement ou asymtotc study wth a nte samle analyss. Ths clealy demonstates that the IPS test can also have vey low owe n stuatons whee T and assume the sot of values tycally encounteed n actce. Snce aled eseaches ae unable to stulate the natue of the ntal condtons they face, they should be fully awae of the otental fo oo owe efomance of the IPS test n such ccumstances. The authos would lke to thank Gusee Cavalee fo helful comments. y Addess fo Coesondence: Stehen J. Leyboune, School of Economcs, Unvesty of ottngham, Unvesty Pak, ottngham G7 RD, UK (emal: steve.leyboune@nottngham.ac.uk).

3 As a by-oduct of ou analyss, we also show that when the ntal condtons ae asymtotcally neglgble, the eesentaton of the lmt dstbuton of the IPS test as stated n etung and Pesaan (8) s actually ncoect, snce t omts motant contbutons fom a numbe of non-neglgble exectaton tems. The Panel Model and IPS Statstc Consde the followng data geneatng ocess fo coss-sectonal sees y t, = ; : : : ;, obseved ove t = ; : : : ; T tme eods y t = + w t w t = w ;t + v t ; t = ; : : : ; T w = () whee the nnovatons v t ae assumed to satsfy the followng assumton Assumton. The v t ae..d.(, v; ) acoss t = ; :::; T and ae ndeendently dstbuted acoss = ; :::;. We consde the case whee the ntal condtons ae govened by Assumton. Let the ntal condtons be = w;, whee w; denotes the shot un vaance of w t fo <,.e. = v;. Ths ntal value sec caton mles that each ntal condton s ootonal to the standad devaton of the coesondng ocess w t. Fo tactablty n the analyss, we assume that the constant of ootonalty s common acoss = ; :::;, and we teat as a xed aamete. The null and altenatve hyotheses fo the anel unt oot testng oblem ae H : = fo all H : < fo at least one. Denotng the standad DF statstc that allows fo an ntecet by t statstc s gven by Z = = ft E(t )g V (t ) fo sees, the IPS test whee t = P = t and whee E(t ) and V (t ) denote the mean and vaance, esectvely, of t unde the null hyothess. Unde Assumton these moments do not deend on and hence the subsct s omtted. We use ths conventon fo all exectaton tems thoughout the ae. Asymtotc Local Powe of the IPS Statstc We secfy the local altenatve hyothess by lettng be govened by the followng assumton Assumton. Let = + c T fo c <, = ; :::; notng that the null hyothess holds fo c = 8.

4 Remak. Unde Assumtons, the ode of the ntal condtons s gven by = O( =4 T = ). We consde seuental asymtotc theoy, whee T! followed by!. All oofs ae gven n the Aendx. The followng lemma gves the dstbuton of the IPS statstc as T! Lemma. Unde Assumtons ( V (t )Z T! ) = = A E ( ) + c + = + 48 = c + =4 + = A = A 4 A 5 c = ) A c A A c = 4 ( c ) = A A 4 = + O ( =4 ) A A 4 c 5 =4 = ( c ) = A 5 whee eesents the lmt dstbuton of the DF statstc wth ntecet and A = R W ()dw (); A = R n R W R R o t (s)ds W (s)dsdt dw (); A = R n R W () W R R o t (s)ds W (s)dsdt d; A 4 = R ( )W ()d; A 5 = R ( )dw (); = R W () d; and W () s a standad ownan moton ocess. W () = W () R W (s)ds The behavou as! of the consttuent tems n the lmt n Lemma s gven by the followng sees of lemmas Lemma. = ( = A E ( ) )! ) (; V ( )): Lemma. Let c = lm! P = c. Then () () = =! c ) ce A A c! ) ce (v) A A = A A 4 c 5 ; () = ; (v)! ) ce A! A c ) ce ; = c A A 4 5 A :! A ) ce ;

5 Lemma 4. () = ( c ) = A A 4 () = O ( = ); () ( c ) = A 5 = O ( = ); = ( c ) A 4A 5 = = O ( = ): The local asymtotc lmt of the IPS test as T! followed by! s gven by Theoem. Unde Assumtons, wth c = lm! P = c Z T!;! ) (; ) + c E + E A + c 48 E A 4 E Ths follows dectly fom combnng the esults of Lemmas -. E A A V ( ) A A 4 V ( ) 5 Remak. Settng = n Theoem gves the local asymtotc dstbuton of the IPS test fo asymtotcally neglgble ntal condtons; that s, wheneve = o( =4 T = ). ote that ths coects the esult stated n etung and Pesaan (8), whee the o set tem n c contans only E( ), theeby ncoectly omttng the othe two exectatons. Values fo the moments nvolved n Theoem can be obtaned usng Monte Calo smulaton. We obtaned the values by dect smulaton of the dstbutons, aoxmatng the Wene ocesses usng..d. (; ) andom vaates, and wth the ntegals aoxmated by nomalzed sums of stes. Hee and thoughout the est of the ae, smulatons wee ogammed n Gauss 7. usng 5, elcatons. Substtuton of these moments nto the lmt exesson n Theoem gves se to the followng Coallay. Unde the condtons of Theoem Z T!;! ) (; ) + (:8 :5 )c: () Coollay shows that fo a zeo (common) ntal condton, the lmt dstbuton of Z s (; ) + :8c and hence the owe of the IPS test (snce t s left taled) s monotoncally nceasng n c <. Howeve, once we allow fo (common) non-zeo ntal condtons, fo a gven c <, the owe s monotoncally deceasng n jj. In fact, t also follows fom () that fo the IPS test conducted at any chosen sgn cance level, asymtotcally, ts owe wll fall below nomnal sze once :8 :5 < ; that s, once jj > :445. These asymtotc oetes of the IPS test ae demonstated gahcally n Fgue, whee the nomnal sgnfance level s 5%, c f ; 4; 6; 8; g and f; :; :::; 4:g. Fo comason, also shown s the local asymtotc owe of the unvaate DF test (fo = + c=t ), as evously studed by Mülle and Ellott () and Havey and Leyboune (5), when c =. The contast n behavou s comletely evdent, hghlghtng the fact that the behavou of anel unt oot tests cannot necessaly be nfeed fom the coesondng behavou of the unvaate counteats. Whle the unvaate DF test has owe that s monotoncally nceasng n, the 4

6 IPS test dslays the ooste behavou, wth owe adly deceasng as the magntude of nceases. y the tme =, when the ntal values ae one standad devaton away fom the sees mean, owe has oughly halved elatve to the = case; fo > :445, the above esult that IPS owe falls below sze s clealy obseved fo all values of c. Fnally, t s motant to assess the extent to whch the asymtotc behavou of the IPS test manfests tself when (and T ) s nte. In Fgue we eot nte samle owe smulatons fo f; ; ; 5; g when T =, wth f; :; :::; 4:g. These ae based on smulaton of Z wth data geneated fom the model () wth = and the v t geneated as..d. (; ) ndeendently acoss. We set = fo all such that = =( ) and, to make the comasons moe staghtfowad, fo each value of, s selected such that nte samle owe s eual to 5% when =. Results fo the unvaate DF test ae agan eoted fo comason. We see that as nceases the owe cuve of the IPS test less and less esembles that of the sng-n- unvaate case and mgates towads that of the decayng-n- lage case descbed above. In vey boad tems, owe s nceasng n when < and deceasng when >. Moeove, Z can ossess extemely low nte samle owe when = 5 o moe and not close to zeo. Thus, ou lage asymtotcs do ndeed aea to be a decent edcto of what mght occu n nte samles when s not small. We would theefoe suggest that ou ndngs seve a note of cauton to those alyng the IPS test when thee exsts uncetanty egadng the magntude of the ntal condtons. 4 Refeences etung, J. and Pesaan, M. H. (8). Unt oots and contegaton n anels. In Matyas, L. and Seveste, P. (eds.), The Econometcs of Panel Data, d edn., Kluwe Academc Publshes, fothcomng. Evans, G..A. and Savn,.E. (98). Testng fo Unt Roots:. Econometca 49, Havey, D. I. and Leyboune, S. J. (5). On testng fo unt oots and the ntal obsevaton. Econometcs Jounal 8, 97. Im, K. S., Pesaan, M. H. and Shn, Y. (). Testng fo unt oots n heteogeneous anels. Jounal of Econometcs 5, Mülle, U. K. and Ellott, G. (). Tests fo unt oots and the ntal condton. Econometca 7, Phlls, P. C.. (987). Towads a un ed asymtotc theoy fo autoegesson. ometka 74, Tanaka, K. (996). Tme Sees Analyss: onstatonay and onnvetble Dstbuton Theoy. John Wley, ew Yok. Aendx Poof of Lemma Usng esults fom Mülle and Ellott () and Phlls (987), we have that as T! t R T! R ) c = K ;c () d + K ;c ()dw () R K ;c () d 5

7 whee K ;c = K ;c () R K ;c (s)ds and K ;c () = (e c = )( c = ) = + W () + c =R e( s)c =W (s)ds: ext, va a Taylo sees exanson of the fom we may wte K ;c () = c ( e xc = = + xc = + O( ) c ) = =4 + W () + c =R W (s)ds + O ( =4 ) K ;c = ( )c ( c ) = =4 + W () + c = n R W (s)ds R R t W (s)dsdto + O ( =4 ) whee W = W () R W (s)ds. Substtutng and eaangng, we nd t T! ) c = + O ( =4 ) + A + c = A + c ( c ) = =4 A 5 + O ( =4 ) + c ( c ) = = + c = A + c ( c ) = =4 A 4 + O ( =4 ) () whee the A j ; j = ; :::; 5 and ae as de ned n the man text. Wtng the second tem as F ( + G ) =, whee F eesents the numeato and G = c ( c ) = = + c = A + c ( c ) = =4 A 4 + O ( =4 ) then a Taylo sees exanson aound G = gves ( + G ) = = = G + G O ( =4 ) c ( c ) = = c ( c ) = =4 A 4 c = A + c ( c ) = A 4 + O 5 ( =4 ): (4) On combnng () and (4), togethe wth + O ( =4 ) = + O ( =4 ), we have t T! ) A + c = + c = A c = A A + 48 c = A 4 c = A A ( c ) = 4 A A 4 ( + c = A 4A 5 + O ( =4 ) c ) = =4 A 5 and the esult of the lemma then follows by consdeng V (t )Z = = f P = t E(t )g. Poof of Lemma Ths follows fom alcaton of a standad cental lmt theoem n fo..d. andom vaables wth bounded vaance. 6

8 Poof of Lemma () Wte = c = c E( ) + = = ce( ) + O ( = )! ) c(e ) = c f E( )g usng a standad weak law of lage numbes n fo..d. andom vaables, whch ales snce E ( ) <. Results ()-(v) follow smlaly. Poof of Lemma 4 We wll show (), snce () and () follow smlaly. Ths nvolves showng and A A 4 A = ; (5) A E A 4 < : (6) Then by ndeendence we wll have E 4@ ( c ) = A A 4 A 5 A = jc j E A 4 = = O = hence ovng (). To show (5), the numeato can be wtten A A 4 = R W () d R W () dw () = R = R = W () d n R W () dw () R W () dr n R o dw () s s dw (s) R s s dw (s) R dw () R 4 : o dw () R ( ) dw () R dw () dw () 4 ow,, ae jontly nomal wth mean zeo, and we nd that E() = R E ( ) = R s s s That R s s dw (s) E() = R s s ds = ; E( ) = ; d = ; E ( ) = R s s ds = 6 ; ds = ; E ( ) = R d = : A Snce s ndeendent of both and, t follows that = =6 =6 = E ( ) = E ( ) E ( ) = AA : 7

9 and hence E 4 = so that A A 4 has zeo mean. ow consde the skewness of A A 4 n E 4 o = 8 E( ) 6 E( ) + E( ) 64 E( ): The st and thd tems ae obvously zeo snce s ndeendent of both and, and s symmetc due to nomalty. The fouth tem s also zeo due to the nomalty of. The second tem can be wtten E( ) = E( )E( ): ext consde a oulaton egesson of on. Snce E( )=E( ) = 5 we can wte = 5 + whee and ae ndeendent and jontly nomal wth mean zeo. Substtutng = 5 + nto E( ) gves E( ) = Ef( )g = 5E() 5 + E( ) + 5E( 4 ) = 5E() 5 + E()E( ) + 5E()E( 4 ) = : Thus n E 4 o = and so the dstbuton of A A 4 s symmetc about zeo. ow t follows that s! A A 4 A A = E sgn (A A 4 ) 4 s! = E (sgn (A A 4 )) E A A 4 = ovded (6) holds. To show (6) we aly the Cauchy Schwaz neualty A E A 4 E A 4 A 4 = 4 E 6 = and snce t s clea that A ; and A 4; have moments of all odes, we just need to vefy E 6 <. Fom euaton (5.7) of Evans and Savn (98), we can check the exstence of the ght hand sde of Z E = t E e t dt; > : () Fom euaton (4.) of Tanaka (996) we can deduce the mgf of to be E e t = (t) = sn = t and hence fo t > t follows that E e t = (t) = snh =. t y the change of vaable u = t we ave at the ntegal E = Z () 8 u = du = (snh u)

10 whch exsts fo any >. If t s needed to vefy ths exstence, we can wte Z u = du = = (snh u) In the st tem we use snh u u to wte Z u = du + = (snh u) Z u = du: = (snh u) Z u = du = (snh u) Z u d whch exsts and s eual to () fo >. In the second tem we use snh (u) = eu e u eu e on [; ), so Z u = du = (snh u) e Z u = e u= du + e < : 9

INTERVAL ESTIMATION FOR THE QUANTILE OF A TWO-PARAMETER EXPONENTIAL DISTRIBUTION

INTERVAL ESTIMATION FOR THE QUANTILE OF A TWO-PARAMETER EXPONENTIAL DISTRIBUTION Intenatonal Jounal of Innovatve Management, Infomaton & Poducton ISME Intenatonalc0 ISSN 85-5439 Volume, Numbe, June 0 PP. 78-8 INTERVAL ESTIMATION FOR THE QUANTILE OF A TWO-PARAMETER EXPONENTIAL DISTRIBUTION

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu

More information

Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial Lindley Distribution

Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial Lindley Distribution Oen Jounal of Statcs 8- htt://dxdoog/46/os5 Publshed Onlne Al (htt://wwwscrpog/ounal/os) Stochac Odes Comasons of Negatve Bnomal Dbuton wth Negatve Bnomal Lndley Dbuton Chooat Pudommaat Wna Bodhsuwan Deatment

More information

UNIT10 PLANE OF REGRESSION

UNIT10 PLANE OF REGRESSION UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /

More information

Energy in Closed Systems

Energy in Closed Systems Enegy n Closed Systems Anamta Palt palt.anamta@gmal.com Abstact The wtng ndcates a beakdown of the classcal laws. We consde consevaton of enegy wth a many body system n elaton to the nvese squae law and

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

8 Baire Category Theorem and Uniform Boundedness

8 Baire Category Theorem and Uniform Boundedness 8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal

More information

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions A Bef Gude to Recognzng and Copng Wth Falues of the Classcal Regesson Assumptons Model: Y 1 k X 1 X fxed n epeated samples IID 0, I. Specfcaton Poblems A. Unnecessay explanatoy vaables 1. OLS s no longe

More information

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION IJMMS 3:37, 37 333 PII. S16117131151 http://jmms.hndaw.com Hndaw Publshng Cop. ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION ADEM KILIÇMAN Receved 19 Novembe and n evsed fom 7 Mach 3 The Fesnel sne

More information

Parameter Estimation Method in Ridge Regression

Parameter Estimation Method in Ridge Regression Paamete Estmaton Method n dge egesson Dougade.V. Det. of tatstcs, hvaj Unvesty Kolhau-46004. nda. adougade@edff.com Kashd D.N. Det. of tatstcs, hvaj Unvesty Kolhau-46004. nda. dnkashd_n@yahoo.com bstact

More information

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4 CSJM Unvesty Class: B.Sc.-II Sub:Physcs Pape-II Ttle: Electomagnetcs Unt-: Electostatcs Lectue: to 4 Electostatcs: It deals the study of behavo of statc o statonay Chages. Electc Chage: It s popety by

More information

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints.

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints. Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then

More information

LASER ABLATION ICP-MS: DATA REDUCTION

LASER ABLATION ICP-MS: DATA REDUCTION Lee, C-T A Lase Ablaton Data educton 2006 LASE ABLATON CP-MS: DATA EDUCTON Cn-Ty A. Lee 24 Septembe 2006 Analyss and calculaton of concentatons Lase ablaton analyses ae done n tme-esolved mode. A ~30 s

More information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

Analysis of the chemical equilibrium of combustion at constant volume

Analysis of the chemical equilibrium of combustion at constant volume Analyss of the chemcal equlbum of combuston at constant volume Maus BEBENEL* *Coesondng autho LIEHNICA Unvesty of Buchaest Faculty of Aeosace Engneeng h. olzu Steet -5 6 Buchaest omana mausbeb@yahoo.com

More information

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle 1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

19 The Born-Oppenheimer Approximation

19 The Born-Oppenheimer Approximation 9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A

More information

Generalized Loss Variance Bounds

Generalized Loss Variance Bounds Int. J. Contem. ath. Scences Vol. 7 0 no. 3 559-567 Genealzed Loss Vaance Bounds Wene Hülmann FRSGlobal Swtzeland Seefeldstasse 69 CH-8008 Züch Swtzeland wene.huelmann@fsglobal.com whulmann@bluewn.ch Abstact

More information

P 365. r r r )...(1 365

P 365. r r r )...(1 365 SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty

More information

1. Starting with the local version of the first law of thermodynamics q. derive the statement of the first law of thermodynamics for a control volume

1. Starting with the local version of the first law of thermodynamics q. derive the statement of the first law of thermodynamics for a control volume EN10: Contnuum Mechancs Homewok 5: Alcaton of contnuum mechancs to fluds Due 1:00 noon Fda Febua 4th chool of Engneeng Bown Unvest 1. tatng wth the local veson of the fst law of themodnamcs q jdj q t and

More information

A. Thicknesses and Densities

A. Thicknesses and Densities 10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law Physcs 11b Lectue # Electc Feld Electc Flux Gauss s Law What We Dd Last Tme Electc chage = How object esponds to electc foce Comes n postve and negatve flavos Conseved Electc foce Coulomb s Law F Same

More information

Chapter 23: Electric Potential

Chapter 23: Electric Potential Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done

More information

Correspondence Analysis & Related Methods

Correspondence Analysis & Related Methods Coespondence Analyss & Related Methods Ineta contbutons n weghted PCA PCA s a method of data vsualzaton whch epesents the tue postons of ponts n a map whch comes closest to all the ponts, closest n sense

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

Tian Zheng Department of Statistics Columbia University

Tian Zheng Department of Statistics Columbia University Haplotype Tansmsson Assocaton (HTA) An "Impotance" Measue fo Selectng Genetc Makes Tan Zheng Depatment of Statstcs Columba Unvesty Ths s a jont wok wth Pofesso Shaw-Hwa Lo n the Depatment of Statstcs at

More information

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41.

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41. Chapte I Matces, Vectos, & Vecto Calculus -, -9, -0, -, -7, -8, -5, -7, -36, -37, -4. . Concept of a Scala Consde the aa of patcles shown n the fgue. he mass of the patcle at (,) can be epessed as. M (,

More information

iclicker Quiz a) True b) False Theoretical physics: the eternal quest for a missing minus sign and/or a factor of two. Which will be an issue today?

iclicker Quiz a) True b) False Theoretical physics: the eternal quest for a missing minus sign and/or a factor of two. Which will be an issue today? Clce Quz I egsteed my quz tansmtte va the couse webste (not on the clce.com webste. I ealze that untl I do so, my quz scoes wll not be ecoded. a Tue b False Theoetcal hyscs: the etenal quest fo a mssng

More information

Groupoid and Topological Quotient Group

Groupoid and Topological Quotient Group lobal Jounal of Pue and Appled Mathematcs SSN 0973-768 Volume 3 Numbe 7 07 pp 373-39 Reseach nda Publcatons http://wwwpublcatoncom oupod and Topolocal Quotent oup Mohammad Qasm Manna Depatment of Mathematcs

More information

Concept of Game Equilibrium. Game theory. Normal- Form Representation. Game definition. Lecture Notes II-1 Static Games of Complete Information

Concept of Game Equilibrium. Game theory. Normal- Form Representation. Game definition. Lecture Notes II-1 Static Games of Complete Information Game theoy he study of multeson decsons Fou tyes of games Statc games of comlete nfomaton ynamc games of comlete nfomaton Statc games of ncomlete nfomaton ynamc games of ncomlete nfomaton Statc v. dynamc

More information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,

More information

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng

More information

3.1 Random variables

3.1 Random variables 3 Chapte III Random Vaiables 3 Random vaiables A sample space S may be difficult to descibe if the elements of S ae not numbes discuss how we can use a ule by which an element s of S may be associated

More information

Scalars and Vectors Scalar

Scalars and Vectors Scalar Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg

More information

ALL QUESTIONS ARE WORTH 20 POINTS. WORK OUT FIVE PROBLEMS.

ALL QUESTIONS ARE WORTH 20 POINTS. WORK OUT FIVE PROBLEMS. GNRAL PHYSICS PH -3A (D. S. Mov) Test (/3/) key STUDNT NAM: STUDNT d #: -------------------------------------------------------------------------------------------------------------------------------------------

More information

New problems in universal algebraic geometry illustrated by boolean equations

New problems in universal algebraic geometry illustrated by boolean equations New poblems in univesal algebaic geomety illustated by boolean equations axiv:1611.00152v2 [math.ra] 25 Nov 2016 Atem N. Shevlyakov Novembe 28, 2016 Abstact We discuss new poblems in univesal algebaic

More information

24-2: Electric Potential Energy. 24-1: What is physics

24-2: Electric Potential Energy. 24-1: What is physics D. Iyad SAADEDDIN Chapte 4: Electc Potental Electc potental Enegy and Electc potental Calculatng the E-potental fom E-feld fo dffeent chage dstbutons Calculatng the E-feld fom E-potental Potental of a

More information

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems Dept. of Math. Unvesty of Oslo Statstcal Reseach Repot No 3 ISSN 0806 3842 June 2010 Bayesan Assessment of Avalabltes and Unavalabltes of Multstate Monotone Systems Bent Natvg Jøund Gåsemy Tond Retan June

More information

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation By Rudy A. Gdeon The Unvesty of Montana The Geatest Devaton Coelaton Coeffcent and ts Geometcal Intepetaton The Geatest Devaton Coelaton Coeffcent (GDCC) was ntoduced by Gdeon and Hollste (987). The GDCC

More information

An Estimate of Incomplete Mixed Character Sums 1 2. Mei-Chu Chang 3. Dedicated to Endre Szemerédi for his 70th birthday.

An Estimate of Incomplete Mixed Character Sums 1 2. Mei-Chu Chang 3. Dedicated to Endre Szemerédi for his 70th birthday. An Estimate of Incomlete Mixed Chaacte Sums 2 Mei-Chu Chang 3 Dedicated to Ende Szemeédi fo his 70th bithday. 4 In this note we conside incomlete mixed chaacte sums ove a finite field F n of the fom x

More information

Chapter 8. Linear Momentum, Impulse, and Collisions

Chapter 8. Linear Momentum, Impulse, and Collisions Chapte 8 Lnea oentu, Ipulse, and Collsons 8. Lnea oentu and Ipulse The lnea oentu p of a patcle of ass ovng wth velocty v s defned as: p " v ote that p s a vecto that ponts n the sae decton as the velocty

More information

Multipole Radiation. March 17, 2014

Multipole Radiation. March 17, 2014 Multpole Radaton Mach 7, 04 Zones We wll see that the poblem of hamonc adaton dvdes nto thee appoxmate egons, dependng on the elatve magntudes of the dstance of the obsevaton pont,, and the wavelength,

More information

An Application of Univariate Statistics to Hotelling s T 2

An Application of Univariate Statistics to Hotelling s T 2 Jouna of Mathematcs and Statstcs 7 (: 86-94, 0 ISSN 549-3644 00 Scence Pubcatons An Acaton of Unvaate Statstcs to Hoteng s D. Athanase Poymens Deatment of Regona Economc Deveoment, Unvesty of Centa Geece,

More information

4.4 Continuum Thermomechanics

4.4 Continuum Thermomechanics 4.4 Contnuum Themomechancs The classcal themodynamcs s now extended to the themomechancs of a contnuum. The state aables ae allowed to ay thoughout a mateal and pocesses ae allowed to be eesble and moe

More information

9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic.

9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic. Chapte 9 Pimitive Roots 9.1 The multiplicative goup of a finite fld Theoem 9.1. The multiplicative goup F of a finite fld is cyclic. Remak: In paticula, if p is a pime then (Z/p) is cyclic. In fact, this

More information

Khintchine-Type Inequalities and Their Applications in Optimization

Khintchine-Type Inequalities and Their Applications in Optimization Khntchne-Type Inequaltes and The Applcatons n Optmzaton Anthony Man-Cho So Depatment of Systems Engneeng & Engneeng Management The Chnese Unvesty of Hong Kong ISDS-Kolloquum Unvestaet Wen 29 June 2009

More information

Online-routing on the butterfly network: probabilistic analysis

Online-routing on the butterfly network: probabilistic analysis Online-outing on the buttefly netwok: obabilistic analysis Andey Gubichev 19.09.008 Contents 1 Intoduction: definitions 1 Aveage case behavio of the geedy algoithm 3.1 Bounds on congestion................................

More information

Dorin Andrica Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania

Dorin Andrica Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania #A INTEGERS 5A (05) THE SIGNUM EQUATION FOR ERDŐS-SURÁNYI SEQUENCES Doin Andica Faculty of Mathematics and Comute Science, Babeş-Bolyai Univesity, Cluj-Naoca, Romania dandica@math.ubbcluj.o Eugen J. Ionascu

More information

N = N t ; t 0. N is the number of claims paid by the

N = N t ; t 0. N is the number of claims paid by the Iulan MICEA, Ph Mhaela COVIG, Ph Canddate epatment of Mathematcs The Buchaest Academy of Economc Studes an CECHIN-CISTA Uncedt Tac Bank, Lugoj SOME APPOXIMATIONS USE IN THE ISK POCESS OF INSUANCE COMPANY

More information

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant

More information

Remember: When an object falls due to gravity its potential energy decreases.

Remember: When an object falls due to gravity its potential energy decreases. Chapte 5: lectc Potental As mentoned seveal tmes dung the uate Newton s law o gavty and Coulomb s law ae dentcal n the mathematcal om. So, most thngs that ae tue o gavty ae also tue o electostatcs! Hee

More information

BEST CONSTANTS FOR UNCENTERED MAXIMAL FUNCTIONS. Loukas Grafakos and Stephen Montgomery-Smith University of Missouri, Columbia

BEST CONSTANTS FOR UNCENTERED MAXIMAL FUNCTIONS. Loukas Grafakos and Stephen Montgomery-Smith University of Missouri, Columbia BEST CONSTANTS FOR UNCENTERED MAXIMAL FUNCTIONS Loukas Gafakos and Stehen Montgomey-Smith Univesity of Missoui, Columbia Abstact. We ecisely evaluate the oeato nom of the uncenteed Hady-Littlewood maximal

More information

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering Themodynamcs of solds 4. Statstcal themodynamcs and the 3 d law Kwangheon Pak Kyung Hee Unvesty Depatment of Nuclea Engneeng 4.1. Intoducton to statstcal themodynamcs Classcal themodynamcs Statstcal themodynamcs

More information

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems Engneeng echancs oce esultants, Toques, Scala oducts, Equvalent oce sstems Tata cgaw-hll Companes, 008 Resultant of Two oces foce: acton of one bod on anothe; chaacteed b ts pont of applcaton, magntude,

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor 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 information

Solution to HW 3, Ma 1a Fall 2016

Solution to HW 3, Ma 1a Fall 2016 Solution to HW 3, Ma a Fall 206 Section 2. Execise 2: Let C be a subset of the eal numbes consisting of those eal numbes x having the popety that evey digit in the decimal expansion of x is, 3, 5, o 7.

More information

Dynamics of Rigid Bodies

Dynamics of Rigid Bodies Dynamcs of Rgd Bodes A gd body s one n whch the dstances between consttuent patcles s constant thoughout the moton of the body,.e. t keeps ts shape. Thee ae two knds of gd body moton: 1. Tanslatonal Rectlnea

More information

Event Shape Update. T. Doyle S. Hanlon I. Skillicorn. A. Everett A. Savin. Event Shapes, A. Everett, U. Wisconsin ZEUS Meeting, October 15,

Event Shape Update. T. Doyle S. Hanlon I. Skillicorn. A. Everett A. Savin. Event Shapes, A. Everett, U. Wisconsin ZEUS Meeting, October 15, Event Shape Update A. Eveett A. Savn T. Doyle S. Hanlon I. Skllcon Event Shapes, A. Eveett, U. Wsconsn ZEUS Meetng, Octobe 15, 2003-1 Outlne Pogess of Event Shapes n DIS Smla to publshed pape: Powe Coecton

More information

arxiv: v1 [math.nt] 12 May 2017

arxiv: v1 [math.nt] 12 May 2017 SEQUENCES OF CONSECUTIVE HAPPY NUMBERS IN NEGATIVE BASES HELEN G. GRUNDMAN AND PAMELA E. HARRIS axiv:1705.04648v1 [math.nt] 12 May 2017 ABSTRACT. Fo b 2 and e 2, let S e,b : Z Z 0 be the function taking

More information

A Bijective Approach to the Permutational Power of a Priority Queue

A Bijective Approach to the Permutational Power of a Priority Queue A Bijective Appoach to the Pemutational Powe of a Pioity Queue Ia M. Gessel Kuang-Yeh Wang Depatment of Mathematics Bandeis Univesity Waltham, MA 02254-9110 Abstact A pioity queue tansfoms an input pemutation

More information

Efficiency of the principal component Liu-type estimator in logistic

Efficiency of the principal component Liu-type estimator in logistic Effcency of the pncpal component Lu-type estmato n logstc egesson model Jbo Wu and Yasn Asa 2 School of Mathematcs and Fnance, Chongqng Unvesty of Ats and Scences, Chongqng, Chna 2 Depatment of Mathematcs-Compute

More information

On the Distribution of the Product and Ratio of Independent Central and Doubly Non-central Generalized Gamma Ratio random variables

On the Distribution of the Product and Ratio of Independent Central and Doubly Non-central Generalized Gamma Ratio random variables On the Dstbuton of the Poduct Rato of Independent Cental Doubly Non-cental Genealzed Gamma Rato om vaables Calos A. Coelho João T. Mexa Abstact Usng a decomposton of the chaactestc functon of the logathm

More information

gravity r2,1 r2 r1 by m 2,1

gravity r2,1 r2 r1 by m 2,1 Gavtaton Many of the foundatons of classcal echancs wee fst dscoveed when phlosophes (ealy scentsts and atheatcans) ted to explan the oton of planets and stas. Newton s ost faous fo unfyng the oton of

More information

Online Appendix to Position Auctions with Budget-Constraints: Implications for Advertisers and Publishers

Online Appendix to Position Auctions with Budget-Constraints: Implications for Advertisers and Publishers Onlne Appendx to Poston Auctons wth Budget-Constants: Implcatons fo Advetses and Publshes Lst of Contents A. Poofs of Lemmas and Popostons B. Suppotng Poofs n the Equlbum Devaton B.1. Equlbum wth Low Resevaton

More information

Physics Exam II Chapters 25-29

Physics Exam II Chapters 25-29 Physcs 114 1 Exam II Chaptes 5-9 Answe 8 of the followng 9 questons o poblems. Each one s weghted equally. Clealy mak on you blue book whch numbe you do not want gaded. If you ae not sue whch one you do

More information

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS #A39 INTEGERS 9 (009), 497-513 GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS Mohaad Faokh D. G. Depatent of Matheatcs, Fedows Unvesty of Mashhad, Mashhad,

More information

( ) F α. a. Sketch! r as a function of r for fixed θ. For the sketch, assume that θ is roughly the same ( )

( ) F α. a. Sketch! r as a function of r for fixed θ. For the sketch, assume that θ is roughly the same ( ) . An acoustic a eflecting off a wav bounda (such as the sea suface) will see onl that pat of the bounda inclined towad the a. Conside a a with inclination to the hoizontal θ (whee θ is necessail positive,

More information

Dirichlet Mixture Priors: Inference and Adjustment

Dirichlet Mixture Priors: Inference and Adjustment Dchlet Mxtue Pos: Infeence and Adustment Xugang Ye (Wokng wth Stephen Altschul and Y Kuo Yu) Natonal Cante fo Botechnology Infomaton Motvaton Real-wold obects Independent obsevatons Categocal data () (2)

More information

an application to HRQoL

an application to HRQoL AlmaMate Studoum Unvesty of Bologna A flexle IRT Model fo health questonnae: an applcaton to HRQoL Seena Boccol Gula Cavn Depatment of Statstcal Scence, Unvesty of Bologna 9 th Intenatonal Confeence on

More information

4 SingularValue Decomposition (SVD)

4 SingularValue Decomposition (SVD) /6/00 Z:\ jeh\self\boo Kannan\Jan-5-00\4 SVD 4 SngulaValue Decomposton (SVD) Chapte 4 Pat SVD he sngula value decomposton of a matx s the factozaton of nto the poduct of thee matces = UDV whee the columns

More information

PHY126 Summer Session I, 2008

PHY126 Summer Session I, 2008 PHY6 Summe Sesson I, 8 Most of nfomaton s avalable at: http://nngoup.phscs.sunsb.edu/~chak/phy6-8 ncludng the sllabus and lectue sldes. Read sllabus and watch fo mpotant announcements. Homewok assgnment

More information

Variance estimation in multi-phase calibration

Variance estimation in multi-phase calibration Catalogue no. -00-X ISSN 49-09 Suvey Methodology Vaance estmaton n mult-hase calbaton by Noam Cohen, Dan Ben-Hu and Lusa Buck Release date: June, 07 How to obtan moe nfomaton Fo nfomaton about ths oduct

More information

On the Distribution of the Weighted Sum of L Independent Rician and Nakagami Envelopes in the Presence of AWGN

On the Distribution of the Weighted Sum of L Independent Rician and Nakagami Envelopes in the Presence of AWGN On the Dstbuton of the Weghted Sum of L Indeendent Rcan and Naagam Enveloes n the Pesence of AWN eoge K Kaagannds and Stavos A Kotsooulos Abstact: An altenatve, unfed, sem-analytcal aoach fo the evaluaton

More information

Chapter 2: Basic Physics and Math Supplements

Chapter 2: Basic Physics and Math Supplements Chapte 2: Basic Physics and Math Supplements Decembe 1, 215 1 Supplement 2.1: Centipetal Acceleation This supplement expands on a topic addessed on page 19 of the textbook. Ou task hee is to calculate

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Jounal of Inequalities in Pue and Applied Mathematics COEFFICIENT INEQUALITY FOR A FUNCTION WHOSE DERIVATIVE HAS A POSITIVE REAL PART S. ABRAMOVICH, M. KLARIČIĆ BAKULA AND S. BANIĆ Depatment of Mathematics

More information

Time Warp Edit Distance

Time Warp Edit Distance Tme Wa Edt Dstance PIERRE-FRNÇOIS MRTEU ee-fancos.mateau@unv-ubs.f VLORI UNIVERSITE EUROPEENNE DE RETGNE CMPUS DE TONNIC T. YVES COPPENS P 573 567 VNNES CEDEX FRNCE FERURY 28 TECNICL REPORT N : VLORI.28.V5

More information

Mobility-Based Explanation of Crime Incentives*

Mobility-Based Explanation of Crime Incentives* 51 The Koean Economc Revew Volume 28, Numbe 1, Summe 2012, 51-67. Moblty-Based Exlanaton of Cme Incentves* Yoonseok Lee** Donggyun Shn*** The canoncal economc model of cme s extended to nclude ndvduals

More information

Circular Orbits. and g =

Circular Orbits. and g = using analyse planetay and satellite motion modelled as unifom cicula motion in a univesal gavitation field, a = v = 4π and g = T GM1 GM and F = 1M SATELLITES IN OBIT A satellite is any object that is

More information

k. s k=1 Part of the significance of the Riemann zeta-function stems from Theorem 9.2. If s > 1 then 1 p s

k. s k=1 Part of the significance of the Riemann zeta-function stems from Theorem 9.2. If s > 1 then 1 p s 9 Pimes in aithmetic ogession Definition 9 The Riemann zeta-function ζs) is the function which assigns to a eal numbe s > the convegent seies k s k Pat of the significance of the Riemann zeta-function

More information

Math 301: The Erdős-Stone-Simonovitz Theorem and Extremal Numbers for Bipartite Graphs

Math 301: The Erdős-Stone-Simonovitz Theorem and Extremal Numbers for Bipartite Graphs Math 30: The Edős-Stone-Simonovitz Theoem and Extemal Numbes fo Bipatite Gaphs May Radcliffe The Edős-Stone-Simonovitz Theoem Recall, in class we poved Tuán s Gaph Theoem, namely Theoem Tuán s Theoem Let

More information

Ranks of quotients, remainders and p-adic digits of matrices

Ranks of quotients, remainders and p-adic digits of matrices axv:1401.6667v2 [math.nt] 31 Jan 2014 Ranks of quotents, emandes and p-adc dgts of matces Mustafa Elshekh Andy Novocn Mak Gesbecht Abstact Fo a pme p and a matx A Z n n, wte A as A = p(a quo p)+ (A em

More information

Experimental study on parameter choices in norm-r support vector regression machines with noisy input

Experimental study on parameter choices in norm-r support vector regression machines with noisy input Soft Comput 006) 0: 9 3 DOI 0.007/s00500-005-0474-z ORIGINAL PAPER S. Wang J. Zhu F. L. Chung Hu Dewen Expemental study on paamete choces n nom- suppot vecto egesson machnes wth nosy nput Publshed onlne:

More information

Brief summary of functional analysis APPM 5440 Fall 2014 Applied Analysis

Brief summary of functional analysis APPM 5440 Fall 2014 Applied Analysis Bief summay of functional analysis APPM 5440 Fall 014 Applied Analysis Stephen Becke, stephen.becke@coloado.edu Standad theoems. When necessay, I used Royden s and Keyzsig s books as a efeence. Vesion

More information

ONE-POINT CODES USING PLACES OF HIGHER DEGREE

ONE-POINT CODES USING PLACES OF HIGHER DEGREE ONE-POINT CODES USING PLACES OF HIGHER DEGREE GRETCHEN L. MATTHEWS AND TODD W. MICHEL DEPARTMENT OF MATHEMATICAL SCIENCES CLEMSON UNIVERSITY CLEMSON, SC 29634-0975 U.S.A. E-MAIL: GMATTHE@CLEMSON.EDU, TMICHEL@CLEMSON.EDU

More information

Revision of Lecture Eight

Revision of Lecture Eight Revision of Lectue Eight Baseband equivalent system and equiements of optimal tansmit and eceive filteing: (1) achieve zeo ISI, and () maximise the eceive SNR Thee detection schemes: Theshold detection

More information

Chapter 13 - Universal Gravitation

Chapter 13 - Universal Gravitation Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen

More information

PARAMETRIC FAULT LOCATION OF ELECTRICAL CIRCUIT USING SUPPORT VECTOR MACHINE

PARAMETRIC FAULT LOCATION OF ELECTRICAL CIRCUIT USING SUPPORT VECTOR MACHINE XVIII IMEKO WORLD CONGRESS Metology fo a Sustanable Develoment Setembe, 7 22, 2006, Ro de Janeo, Bazl PARAMETRIC FAULT LOCATION OF ELECTRICAL CIRCUIT USING SUPPORT VECTOR MACHINE S. Osowsk,2, T. Makewcz,

More information

A NOTE ON ELASTICITY ESTIMATION OF CENSORED DEMAND

A NOTE ON ELASTICITY ESTIMATION OF CENSORED DEMAND Octobe 003 B 003-09 A NOT ON ASTICITY STIATION OF CNSOD DAND Dansheng Dong an Hay. Kase Conell nvesty Depatment of Apple conomcs an anagement College of Agcultue an fe Scences Conell nvesty Ithaca New

More information

Goodness-of-fit for composite hypotheses.

Goodness-of-fit for composite hypotheses. Section 11 Goodness-of-fit fo composite hypotheses. Example. Let us conside a Matlab example. Let us geneate 50 obsevations fom N(1, 2): X=nomnd(1,2,50,1); Then, unning a chi-squaed goodness-of-fit test

More information

Contact, information, consultations

Contact, information, consultations ontact, nfomaton, consultatons hemsty A Bldg; oom 07 phone: 058-347-769 cellula: 664 66 97 E-mal: wojtek_c@pg.gda.pl Offce hous: Fday, 9-0 a.m. A quote of the week (o camel of the week): hee s no expedence

More information

GENERALIZED MULTIVARIATE EXPONENTIAL TYPE (GMET) ESTIMATOR USING MULTI-AUXILIARY INFORMATION UNDER TWO-PHASE SAMPLING

GENERALIZED MULTIVARIATE EXPONENTIAL TYPE (GMET) ESTIMATOR USING MULTI-AUXILIARY INFORMATION UNDER TWO-PHASE SAMPLING Pak. J. Statst. 08 Vol. (), 9-6 GENERALIZED MULTIVARIATE EXPONENTIAL TYPE (GMET) ESTIMATOR USING MULTI-AUXILIARY INFORMATION UNDER TWO-PHASE SAMPLING Ayesha Ayaz, Zahoo Ahmad, Aam Sanaullah and Muhammad

More information

SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15. KEYWORDS: automorphisms, construction, self-dual codes

SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15. KEYWORDS: automorphisms, construction, self-dual codes Факултет по математика и информатика, том ХVІ С, 014 SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15 NIKOLAY I. YANKOV ABSTRACT: A new method fo constuctng bnay self-dual codes wth

More information

Method for Approximating Irrational Numbers

Method for Approximating Irrational Numbers Method fo Appoximating Iational Numbes Eic Reichwein Depatment of Physics Univesity of Califonia, Santa Cuz June 6, 0 Abstact I will put foth an algoithm fo poducing inceasingly accuate ational appoximations

More information

Approximate Abundance Histograms and Their Use for Genome Size Estimation

Approximate Abundance Histograms and Their Use for Genome Size Estimation J. Hlaváčová (Ed.): ITAT 2017 Poceedngs, pp. 27 34 CEUR Wokshop Poceedngs Vol. 1885, ISSN 1613-0073, c 2017 M. Lpovský, T. Vnař, B. Bejová Appoxmate Abundance Hstogams and The Use fo Genome Sze Estmaton

More information

International Journal of Statistika and Mathematika, ISSN: E-ISSN: , Volume 9, Issue 1, 2014 pp 34-39

International Journal of Statistika and Mathematika, ISSN: E-ISSN: , Volume 9, Issue 1, 2014 pp 34-39 Intenatonal Jounal of Statstka and Mathematka, ISSN: 2277-2790 E-ISSN: 2249-8605, Volume 9, Issue 1, 2014 34-39 Desgnng of Genealzed Two Plan System wth Reettve Defeed Samlng Plan as Refeence Plan Usng

More information

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. Flux: = da i. Force: = -Â g a ik k = X i. Â J i X i (7. Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum

More information