asymptotic theory of a test for the constancy of regression coefficients against

asymptotic theory of a test for the constancy of regression coefficients against

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1、AsymptoticTheoryofaTestfortheConstancyofRegressionCoefficientsAgainsttheRandomWalkAlternativeAuthor(s):SeijiNabeyaandKatsutoTanakaReviewedwork(s):Source:TheAnnalsofStatistics,Vol.16,No.1(Mar.,1988),pp.218-235Publishedby:InstituteofMathematicalStatistic

2、sStableURL:http://www.jstor.org/stable/2241433.Accessed:12/01/201304:41YouruseoftheJSTORarchiveindicatesyouracceptanceoftheTerms&ConditionsofUse,availableat.http://www.jstor.org/page/info/about/policies/terms.jsp.JSTORisanot-for-profitservicethathelpss

3、cholars,researchers,andstudentsdiscover,use,andbuilduponawiderangeofcontentinatrusteddigitalarchive.Weuseinformationtechnologyandtoolstoincreaseproductivityandfacilitatenewformsofscholarship.FormoreinformationaboutJSTOR,pleasecontactsupport@jstor.org..

4、InstituteofMathematicalStatisticsiscollaboratingwithJSTORtodigitize,preserveandextendaccesstoTheAnnalsofStatistics.http://www.jstor.orgThiscontentdownloadedonSat,12Jan201304:41:26AMAllusesubjecttoJSTORTermsandConditionsTheAnnalsofStatistics1988,Vol.16,

5、No.1,218-235ASYMPTOTICTHEORYOFATESTFORTHECONSTANCYOFREGRESSIONCOEFFICIENTSAGAINSTTHERANDOMWALKALTERNATIVEBYSEIJINABEYAANDKATSUTOTANAKAHitotsubashiUniversityTheLBI(locallybestinvariant)testissuggestedundernormalityfortheconstancyofregressioncoefficients

6、againstthealtemativehypothesisthatonecomponentofthecoefficientsfollowsarandomwalkprocess.Wediscussthelimitingnullbehavioroftheteststatisticwithoutassumingnormalityundertwosituations,wheretheinitialvalueoftherandomwalkprocessisknownorunknown.Thelimiting

7、distributionisthatofaquadraticfunc-tionalofBrownianmotionandthecharacteristicfunctionisobtainedfromtheFredhohmdeterminantassociatedwithacertainintegralequation.Thelimitingdistributionisthencomputedbynumericalinversionofthechar-acteristicfunction.1.Intr

8、oduction.InthispaperweareconcernedwiththemodelYt=XtIt+ZtY+et,Pt=Pt-,+ut,t=1,2,....where(i){fytisasequenceofscalarobservations,whereas{xt}and{zt}arescalarandpx1nonstochastic,fixedsequences,respectively;(ii){et}and{ut}areindependentofeach

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