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Bayesian statistics : an introduction / Peter M. Lee.

By: Material type: TextTextPublication details: Chichester : John Wiley, 2012.Edition: 4th edDescription: xxiii, 462 p. ; 23 cmISBN:
  • 9781118332573 (pbk.)
Subject(s): DDC classification:
  • 000SA.161 23 L479
Contents:
1. Preliminaries-- 2. Bayesian inference for the normal distribution-- 3. Some other common distributions-- 4. Hypothesis testing-- 5. Two-sample problems-- 6. Correlation, regression and the analysis of variance-- 7. Other topics-- 8. Hierarchical models-- 9. The Gibbs sampler and other numerical methods-- 10. Some approximate methods-- Appendix A Common statistical distributions-- Appendix B Tables-- Appendix C R programs-- Appendix D Further reading-- References-- Index.
Summary: "- Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.161 L479 (Browse shelf(Opens below)) Available 135444
Total holds: 0

Includes bibliographical references and index.

1. Preliminaries--
2. Bayesian inference for the normal distribution--
3. Some other common distributions--
4. Hypothesis testing--
5. Two-sample problems--
6. Correlation, regression and the analysis of variance--
7. Other topics--
8. Hierarchical models--
9. The Gibbs sampler and other numerical methods--
10. Some approximate methods--

Appendix A Common statistical distributions--
Appendix B Tables--
Appendix C R programs--
Appendix D Further reading--

References--
Index.

"- Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC"--

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