Bayesian Methods for Finite Population Sampling

Malay Ghosh

ISBN 10: 0412987716 / ISBN 13: 9780412987717

Editore: Springer Netherlands, Routledge, Chapman And Hall/CRC, 1997

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9780412987717

Dati bibliografici

• Titolo: Bayesian Methods for Finite Population Sampling
• Editore: Springer Netherlands, Routledge, Chapman And Hall/CRC
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0412987716
• ISBN 13: 9780412987717
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 234 L x 156 A x 20 P (millimetri) 234 millimetri di larghezza per 156 millimetri di altezza per 20 millimetri di profondità
• Peso: 562 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

Ghosh\, Malay; Meeden\, Glen