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Empirical Bayes and Likelihood Inference

  • Book
  • © 2001

Overview

Editors:
  1. S. E. Ahmed

    1. Department of Mathematics, University of Regina, Regina, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. N. Reid

    1. Department of Statistics, University of Toronto, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Statistics (LNS, volume 148)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Bayes/EB Ranking, Histogram and Parameter Estimation: Issues and Research Agenda

    • T. A. Louis
    Pages 1-16

  3. Empirical Bayes Estimators and EM Algorithms in One-Way Analysis of Variance Situations

    • I. Guttman
    Pages 17-32

  4. EB and EBLUP in Small Area Estimation

    • J. N. K. Rao
    Pages 33-43

  5. Semiparametric Empirical Bayes Estimation in Linear Models

    • P. K. Sen
    Pages 45-65

  6. Empirical Bayes Procedures for a Change Point Problem with Application to HIV/AIDS Data

    • S.-L. T. Normand, K. Doksum
    Pages 67-79

  7. Bayes and Empirical Bayes Estimates of Survival and Hazard Functions of a Class of Distributions

    • M. Ahsanullah, S. E. Ahmed
    Pages 81-87

  8. Bayes and Empirical Bayes Procedures for Selecting Good Populations From a Translated Exponential Family

    • R. S. Singh
    Pages 89-101

  9. Shrinkage Estimation of Regression Coefficients From Censored Data With Multiple Observations

    • S. E. Ahmed
    Pages 103-120

  10. Bayesian and Likelihood Inference for the Generalized Fieller—Creasy Problem

    • M. Yin, M. Ghosh
    Pages 121-139

  11. The Estimation of Ratios From Paired Data

    • D. A. Sprott
    Pages 141-159

  12. Meta-Analysis: Conceptual Issues of Addressing Apparent Failure of Individual Study Replication or “Inexplicable” Heterogeneity

    • K. O’Rourke
    Pages 161-183

  13. Ancillary Information for Statistical Inference

    • D. A. S. Fraser, N. Reid
    Pages 185-209

  14. The Relevance Weighted Likelihood With Applications

    • F. Hu, J. V. Zidek
    Pages 211-235

  15. Back Matter

    Pages 237-238
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Keywords

About this book

Bayesian and likelihood approaches to inference have a number of points of close contact, especially from an asymptotic point of view. Both approaches emphasize the construction of interval estimates of unknown parameters. Empirical Bayes methods have historically emphasized instead the construction of point estimates. In this volume researchers present recent work on several aspects of Bayesian, likelihood and empirical Bayes methods, presented at a workshop held in Montreal, Canada. The goal of the workshop was to explore the linkages among the methods, and to suggest new directions for research in the theory of inference.

Editors and Affiliations

  • Department of Mathematics, University of Regina, Regina, Canada

    S. E. Ahmed

  • Department of Statistics, University of Toronto, Toronto, Canada

    N. Reid

Bibliographic Information

  • Book Title: Empirical Bayes and Likelihood Inference

  • Editors: S. E. Ahmed, N. Reid

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4613-0141-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Softcover ISBN: 978-0-387-95018-1Published: 23 October 2000

  • eBook ISBN: 978-1-4613-0141-7Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XIV, 235

  • Topics: Applications of Mathematics

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