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ID:40057510
大小:435.15 KB
页数:29页
时间:2019-07-18
《Computation Method for Mixed Model》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、ComputationalMethodsforMultilevelModellingDouglasM.BatesJoseC.Pinheiro´DepartmentofStatisticsBellLaboratoriesUniversityofWisconsin–MadisonLucentTechnologiesAbstractAmultilevelmixed-effectsmodelhasrandomeffectsateachofseveralnestedlevelsofgroupingofth
2、eobservedresponses.Wemayusethese,forexample,whenmodellingobservationstakenovertimeonstudentswhoaregroupedintoclassesthataregroupedintoschoolsthataregroupedintodistricts.Ifeachofthedistri-butionsoftherandomeffectsisGaussianandifthedisturbancetermatthel
3、owestlevelofgroupingisalsoGaussianitisstraightforwardtodefinealikelihoodforthefixedeffectsandtheparametersdefiningtherandomeffectsdistribution.Weshowthatbyexpressingtherandomeffectsdistributionintermsofrelativepreci-sionfactorsandusingmatrixdecomposition
4、s,thislikelihoodcanbeprofiledandcanbecompactlyexpressed.Thesamedecompositionsproviderapidevaluationoftheprofiledlog-restricted-likelihoodforREMLestimation.Theconditionaldistributionoftherandomeffectsgiventhedatacanbederivedfromthedecomposedmatrices.From
5、thisacompactandrapidlyevaluatedexpres-sionfortheEMiterationscanbederived.Reasonablestartingestimatesfortherelativeprecisionfactorscanbederivedfromthedesignalone.Thesestartinges-timates,refinedbyamoderatenumberofEMiterations,provideexcellentstartingvalu
6、esforaNewton-Raphsonorquasi-Newtonoptimizationofthelog-likelihoodorthelog-restricted-likelihood.Themethodswedescribeextendeasilytomodelswithnon-sphericaldistributionsforthewithin-grouperrorsandtononlinearmul-tilevelmodels.Keywordsandphrases:mixed-effe
7、ctsmodels,EMalgorithm,maximumlikeli-hood,restrictedmaximumlikelihood1IntroductionWeconsidercomputationalmethodsforGaussianmultilevelmixed-effectsmodelsasdescribed,forexample,inLongford(1993)orGoldstein(1995).Thesemodelsareusedwithdatawheretheindividua
8、lobservationsaregroupedatoneormorehierarchicallev-els.Forexample,wemaywishtomodelobservationsonstudentswhoaregroupedintoThisresearchwassupportedbytheNationalScienceFoundationthroughgrantDMS-9704349.1classesthataregroupedintoschoolsthataregrou
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