Bayesian Methods for Finite Population Sampling - Info and Reading Options

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Cover -- Dedication -- Title Page -- Copyright Page -- Table of Contents -- Preface -- 1: Bayesian Foundations -- 1.1 Notation -- 1.2 Sufficiency -- 1.3 The Sufficiency and Likelihood Principles -- 1.4 A Bayesian Example -- 1.5 Posterior Linearity -- 1.6 Overview -- 2: A Noninformative Bayesian Approach -- 2.1 A Binomial Example -- 2.2 A Characterization of Admissibility -- 2.3 Admissibility of the Sample Mean -- 2.4 Set Estimation -- 2.5 The Polya Urn -- 2.6 The Polya Posterior -- 2.7 Simulating the Polya Posterior -- 2.8 Some Examples -- 3: Extensions of the Polya Posterior -- 3.1 Prior Information -- 3.2 Using an Auxiliary Variable -- 3.3 Stratification and Prior Information -- 3.4 Choosing Between Experiments -- 3.5 Nonresponse -- 3.6 Some Nonparametric Problems -- 3.7 Linear Interpolation -- 4: Empirical Bayes Estimation -- 4.1 Introduction -- 4.2 Stepwise Bayes Estimators -- 4.3 Estimation of Stratum Means -- 4.4 Robust Estimation of Stratum Means -- 4.5 Multistage Sampling -- 4.6 Auxiliary Information -- 4.7 Nested Error Regression Models -- 5: Hierarchical Bayes Estimation -- 5.1 Introduction -- 5.2 Stepwise Bayes Estimators -- 5.3 Estimation of Stratum Means -- 5.4 Auxiliary Information I -- 5.5 Auxiliary Information II -- 5.6 Generalized Linear Models -- References -- Author Index -- Subject Index

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