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Empirical Bayes and Likelihood Inference

Overview of attention for book
Empirical Bayes and Likelihood Inference
Springer Science & Business Media

Table of Contents

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    Book Overview
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    Chapter 1 Bayes/EB Ranking, Histogram and Parameter Estimation: Issues and Research Agenda
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    Chapter 2 Empirical Bayes Estimators and EM Algorithms in One-Way Analysis of Variance Situations
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    Chapter 3 EB and EBLUP in Small Area Estimation
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    Chapter 4 Semiparametric Empirical Bayes Estimation in Linear Models
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    Chapter 5 Empirical Bayes Procedures for a Change Point Problem with Application to HIV/AIDS Data
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    Chapter 6 Bayes and Empirical Bayes Estimates of Survival and Hazard Functions of a Class of Distributions
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    Chapter 7 Bayes and Empirical Bayes Procedures for Selecting Good Populations From a Translated Exponential Family
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    Chapter 8 Shrinkage Estimation of Regression Coefficients From Censored Data With Multiple Observations
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    Chapter 9 Bayesian and Likelihood Inference for the Generalized Fieller—Creasy Problem
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    Chapter 10 The Estimation of Ratios From Paired Data
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    Chapter 11 Meta-Analysis: Conceptual Issues of Addressing Apparent Failure of Individual Study Replication or “Inexplicable” Heterogeneity
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    Chapter 12 Ancillary Information for Statistical Inference
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    Chapter 13 The Relevance Weighted Likelihood With Applications
Attention for Chapter 2: Empirical Bayes Estimators and EM Algorithms in One-Way Analysis of Variance Situations
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Summary
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Chapter title
Empirical Bayes Estimators and EM Algorithms in One-Way Analysis of Variance Situations
Chapter number 2
Book title
Empirical Bayes and Likelihood Inference
Published by
Springer, New York, NY, January 2001
DOI 10.1007/978-1-4613-0141-7_2
Book ISBNs
978-0-387-95018-1, 978-1-4613-0141-7
Authors

I. Guttman

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