Bayesian Methods for Finite Population Sampling

Inbunden, Engelska, 1997

Del i serien Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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Beskrivning

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.

Produktinformation

Utgivningsdatum:1997-06-01
Mått:156 x 234 x 20 mm
Vikt:720 g
Format:Inbunden
Språk:Engelska
Serie:Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Antal sidor:300
Förlag:Chapman and Hall
ISBN:9780412987717

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

Ghosh\, Malay; Meeden\, Glen

Innehållsförteckning

Bayesian FoundationsNotationSufficiencyThe Sufficiency and Likelihood PrinciplesA Bayesian ExamplePosterior LinearityOverviewA Noninfromative Bayesian ApproachA Binomial ExampleA Characterization of AdmissibilityAdmissibility of the Sample MeanSet EstimationThe Polya UrnThe Polya PosteriorSimulating the Polya PosteriorSome ExamplesExtensions of the Polya PosteriorPrior InformationUsing an Auxiliary VariableStratification and Prior InformationChoosing between ExperimentsNonresponseSome Nonparametric ProblemsLinear InterpolationEmpirical Bayes EstimationIntroduction Stepwise Bayes EstimatorsEstimation of Stratum MeansRobust Estimation of Stratum MeansMultistage SamplingAuxiliary InformationNested Error Regression ModelsHierarchical Bayes EstimationIntroductionStepwise Bayes EstimatorsEstimation of Stratum MeansAuxiliary Information IAuxiliary Information II