Screen LibraryApplied Bayesian statistics with R and OpenBUGS examples /
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatist...
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| Published: |
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| Literature type: | Electronic eBook |
| Language: | English |
| Series: |
Springer texts in statistics ;
v. 98 |
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| Online Access: |
http://dx.doi.org/10.1007/978-1-4614-5696-4 |
| Summary: |
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian model-fitting. |
| Carrier Form: | 1 online resource (xiv, 232 p.) : ill. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781461456964 (electronic bk.) 1461456967 (electronic bk.) |
| Index Number: | QA279 |
| CLC: | O212.8 |
| Contents: |
What is Bayesian statistics? -- Review of probability -- Introduction to one-parameter models : estimating a population proportion -- Inference for a population proportion -- Special considerations in Bayesian inference -- Other one-parameter models and their conjugate priors -- More realism please : introduction to multiparameter models -- Fitting more complex Bayesian models : Markov chain Monte Carlo -- Hierarchical models and more on convergence assessment -- Regression on hierarchical regression models -- Model comparison, model checking, and hypothesis testing. |