Bayesian methods a social and behavioral sciences approach
Requiring only a background in introductory statistics, calculus and matrix algebra, this text provides explanations of derivations and theories using a computationally oriented approach. It covers topics such as: MCMC algorithms, perfect sampling and Bayesian nonparametrics. It emphasizes R computi...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
Chapman & Hall/CRC
2008.
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| Edition: | Second edition |
| Series: | Statistics in the social and behavioral sciences series
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| Subjects: | |
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| 100 | 1 | |a Gill, Jeff. |e author | |
| 245 | 1 | 0 | |a Bayesian methods |b a social and behavioral sciences approach |c Jeff Gill. |
| 250 | |a Second edition | ||
| 264 | 1 | |a Boca Raton, FL |b Chapman & Hall/CRC |c 2008. | |
| 264 | 4 | |c ©2008 | |
| 300 | |a xxxvii, 711 pages |b illustrations |c 25 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Statistics in the social and behavioral sciences series | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Requiring only a background in introductory statistics, calculus and matrix algebra, this text provides explanations of derivations and theories using a computationally oriented approach. It covers topics such as: MCMC algorithms, perfect sampling and Bayesian nonparametrics. It emphasizes R computing environment and Bugs simulation program. | ||
| 592 | |a 1041 |b 8/11/2019 |c RM219.34 |h Amwood | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 0 | |a Social sciences |x Statistical methods. | |
| 830 | 0 | |a Statistics in the social and behavioral sciences series | |
| 999 | |a vtls000044821 |c 55021 |d 55021 | ||