Computer File : EnglishFind a copy online
Links to this item
proxy.library.carleton.ca Scholars Portal Books
Find a copy in the library
Finding libraries that hold this item...
Details
| Material Type: | Document, Internet resource |
|---|---|
| Document Type: | Book, Computer File, Internet Resource |
| All Authors / Contributors: |
Scott M Lynch |
| ISBN: | 9780387712642 038771264X 0387712658 9780387712659 |
| OCLC Number: | 124025392 |
| Description: | xxviii, 357 p. : ill. ; 24 cm. |
| Contents: | 1. Introduction -- 2. Probability theory and classical statistics -- 3. Basics of Bayesian statistics -- 4. Modern model estimation part 1 : Gibbs sampling -- 5. Modern model estimation part 2 : Metropolis-Hastings sampling -- 6. Evaluating Markov chain Monte Carlo algorithms and model fit -- 7. The linear regression model -- 8. Generalized linear models -- 9. Introduction to hierarchical models -- 10. Introduction to multivariate regression models -- 11. Conclusion -- A. Background mathematics -- B. The central limit theorem, confidence intervals, and hypothesis tests. |
| Series Title: | Statistics for social science and public policy. |
| Responsibility: | Scott M. Lynch. |
| More information: |
Abstract:
Reviews
Publisher Synopsis
From the reviews: "The book ! contains a very detailed and comprehensive description of MCMC methods useful for applied researchers. ! Undoubtedly the book is interesting ! . The reader will gain an extensive knowledge of the issues covered ! ." (Dimitris Karlis, Zentralblatt MATH, Vol. 1133 (11), 2008) "This new offering adds to our burgeoning Bayesian bookshelves a text directed at social scientists ! . To summarize, this a very useful text for a tightly bounded semester-long introduction to Bayesian statistics in the social sciences. The text is distinguished by its hands-on practical orientation which many readers will find very appealing. ! In addition, the book is handy for self-study ! ." (Jeff Gill, Journal of the American Statistical Association, Vol. 103 (483), September, 2008) "This book introduces readers to the world of Bayesian analysis and MCMC methods through brief discussions of theory, examples, and programming computations for pplications. ...The potential users of the book are students or researchers in the social sciences, or anyone that is interested in learning Bayesian techniques and MCMC methods and applying them to their practice. The book is geared... towards practical applications. ... I recommended this book to anyone who is interested in learning about Bayesian inference and MCMC methods." (Journal of Educational Measurement . Summer 2010, Vol. 47, No 2, pp. 250-254) Read more...
Tags
Similar Items
Related Subjects:(4)
- Social sciences -- Statistical methods.
- Bayesian statistical decision theory.
- Statistische analyse.
- Methode van Bayes.
User lists with this item (1)
- Things I Own(354 items)
