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Bayesian Ideas and Data Analysis : an Introduction for Scientists and Statisticians.
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 th...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2010.
|
| Colección: | Chapman & Hall/CRC Texts in Statistical Science.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Christensen, Ronald. | |
| 245 | 1 | 0 | |a Bayesian Ideas and Data Analysis : |b an Introduction for Scientists and Statisticians. |
| 260 | |a Hoboken : |b CRC Press, |c 2010. | ||
| 300 | |a 1 online resource (518 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC Texts in Statistical Science | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a Appendix C: Getting Started in RReferences; Author Index; Subject Index; Back cover. | |
| 520 | |a 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. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 700 | 1 | |a Johnson, Wesley. | |
| 700 | 1 | |a Branscum, Adam. | |
| 700 | 1 | |a Hanson, Timothy E. | |
| 758 | |i has work: |a Bayesian ideas and data analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGwyMW68q83wBwJhV67Q4m |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Christensen, Ronald. |t Bayesian Ideas and Data Analysis : An Introduction for Scientists and Statisticians. |d Hoboken : CRC Press, ©2010 |z 9781439803547 |
| 830 | 0 | |a Chapman & Hall/CRC Texts in Statistical Science. | |
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