Bayesian data analysis / Andrew Gelman ... [and others].
نوع المادة :
نصالسلاسل:Texts in statistical scienceالناشر:Boca Raton, Fla. : Chapman and Hall/CRC, [2004]تاريخ حقوق النشر: copyright 2004الطبعات:2nd edوصف:xxv, 668 pages : illustrations, maps ; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 158488388X (hbk)
- QA279.5 B386 2004
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
|---|---|---|---|---|---|---|---|
كتاب
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA279.5 B386 2004 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30010000249988 | ||
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كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA279.5 B386 2004 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30010000249896 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
| QA279.4 .L56 1985 Making decisions | QA279.4 .M37 2009 Computational intelligence for missing data imputation, estimation and management : knowledge optimization techniques / | QA279.5 B386 2004 Bayesian data analysis / | QA279.5 B386 2004 Bayesian data analysis / | QA279.5 .B3889 2008 Bayesian reliability / | QA279.5 .B3889 2008 Bayesian reliability / | QA279.5 B48 1996 Statistics : a Bayesian perspective / |
Includes bibliographical references (pages 611-646) and indexes.
Pt. I. Fundamentals of Bayesian Inference -- 1. Background -- 2. Single-parameter models -- 3. Introduction to multiparameter models -- 4. Large-sample inference and frequency properties of Bayesian inference -- Pt. II. Fundamentals of Bayesian Data Analysis -- 5. Hierarchical models -- 6. Model checking and improvement -- 7. Modeling accounting for data collection -- 8. Connections and challenges -- 9. General advice -- Pt. III. Advanced Computation -- 10. Overview of computation -- 11. Posterior simulation -- 12. Approximations based on posterior modes -- 13. Special topics in computation -- Pt. IV. Regression Models -- 14. Introduction to regression models -- 15. Hierarchical linear models -- 16. Generalized linear models -- 17. Models for robust inference -- 18. Mixture models -- 19. Multivariate models -- 20. Nonlinear models -- 21. Models for missing data -- 22. Decision analysis -- A. Standard probability distributions -- B. Outline of proofs of asymptotic theorems -- C. Example of computation in R and Bugs.
