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.
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Ghosh\, Malay; Meeden\, Glen
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First Edition. 8°. X, 289 Pages. Publishers: Chapman & Hall. 1st Edition (1997). X, 289 Pages. Original Hardcover-Volume. Ex-Library-Copy. Library-Sticker on the Spine. Library-Stamp [dropped out] on Front-Endpaper. No Markings in the Text! No Underlinings! No Owner-Notation! Cover only with small Signs of Usage! ('Monographs on Statistics and applied Probability', Vol. 79). Artikel-Nr. 31121BB
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Buch. Zustand: Neu. 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. Artikel-Nr. 9780412987717
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