| Description |
1 online resource (518 pages) |
| Series |
Chapman & Hall/CRC Texts in Statistical Science |
|
Chapman & Hall/CRC Texts in Statistical Science
|
| Contents |
Front cover; Contents; Preface; Chapter 1: Prologue; Chapter 2: Fundamental Ideas I; Chapter 3: Integration Versus Simulation; Chapter 4: Fundamental Ideas II; Chapter 5:Comparing Populations; Chapter 6: Simulations; Chapter 7: Basic Concepts of Regression; Chapter 8: Binomial Regression; Chapter 9: Linear Regression; Chapter 10: Correlated Data; Chapter 11: Count Data; Chapter 12: Time to Event Data; Chapter 13: Time to Event Regression; Chapter 14: Binary Diagnostic Tests; Chapter 15: Nonparametric Models; Appendix A: Matrices and Vectors; Appendix B: Probability |
|
Appendix C: Getting Started in RReferences; Author Index; Subject Index; Back cover |
| Summary |
This book provides a good introduction to Bayesian approaches to applied statistical modelling. ... The authors have fulfilled their main aim of introducing Bayesian ideas through examples using a large number of statistical models. An interesting feature of this book is the humour of the authors that make it more fun than typical statistics books. In summary, this is a very interesting introductory book, very well organised and has been written in a style that is extremely pleasant and enjoyable to read. Both the statistical concepts and examples are very well explained. In conclusion, I highly |
| Notes |
Print version record |
| Subject |
Bayesian statistical decision theory.
|
|
MATHEMATICS -- Applied.
|
|
MATHEMATICS -- Probability & Statistics -- General.
|
|
Bayesian statistical decision theory
|
| Form |
Electronic book
|
| Author |
Johnson, Wesley
|
|
Branscum, Adam
|
|
Hanson, Timothy E
|
| ISBN |
9781439894798 |
|
1439894795 |
|
0429111770 |
|
9780429111778 |
|
