Bayesian data analysis /
Guardado en:
| Autor Principal: | |
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| Otros Autores: | , , |
| Formato: | Libro |
| Idioma: | English |
| Publicado: |
London :
Chapman & Hall,
1995.
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| Series: | Chapman & Hall texts in statistical science series
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| LEADER | 01526nam a22002295a 4500 | ||
|---|---|---|---|
| 001 | MAT.inmabb000222 | ||
| 008 | 031209s1995####enk###########001#0#eng#d | ||
| 005 | 20150313145038.0 | ||
| 245 | 1 | 0 | |a Bayesian data analysis / |c Andrew Gelman, John Carlin, Hal S. Stern and Donald B. Rubin. |
| 260 | |a London : |b Chapman & Hall, |c 1995. | ||
| 300 | |a xix, 526 p. ; |c 24 cm. | ||
| 440 | 0 | |a Chapman & Hall texts in statistical science series | |
| 505 | 0 | |a Part I. Fundamentals of Bayesian inference: 1. Background; 2. Single-parameter models; 3. Introduction to multiparameter models; 4. Large-sample inference and connections to standard statistical methods -- Part II. Fundamentals of Bayesian data analysis: 5. Hierarchical models; 6. Model checking and sensitivity analysis; 7. Study design in Bayesian analysis; 8. Introduction to regression models -- Part III. Advanced computation: 9. Approximations based on posterior modes; 10. Posterior simulation and integration; 11. Markov chain simulation -- Part IV. Specific models: 12. Models for robust inference and sensitivity analysis; 13. Hierarchical linear models; 14. Generalized linear models; 15. Multivariate models; 16. Mixture models; 17. Models for missing data; 18. Concluding advice. | |
| 510 | 4 | |a MR, |c 97c:62059 | |
| 020 | |a 0412039915 | ||
| 100 | 1 | |a Gelman, Andrew. | |
| 700 | 1 | |a Carlin, John. | |
| 700 | 1 | |a Stern, Hal S. | |
| 700 | 1 | |a Rubin, Donald B. | |
| 084 | |a 62F15 |2 msc2000 | ||
| 859 | |h 62 |i G319 |p A-7450 |b BIB. MATEMATICA | ||
| 859 | |h 62 |i G319 |p A-7946 |t Ej. 2 |b BIB. MATEMATICA | ||