Bayesian statistics : an introduction
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algo...
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| Язык: | Undetermined |
| Опубликовано: |
London,New York
Arnold,Wiley
2004,2004
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 01128nam a2200205Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_161106 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 082 | |a 519.542 | ||
| 082 | |b L479 | ||
| 100 | |a Lee, Peter M. | ||
| 245 | 0 | |a Bayesian statistics : | |
| 245 | 3 | |b an introduction | |
| 245 | 0 | |c Peter M. Lee | |
| 260 | |a London,New York | ||
| 260 | |b Arnold,Wiley | ||
| 260 | |c 2004,2004 | ||
| 520 | |a Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points. | ||
| 650 | |a Bayesian statistical decision theory,Lý thuyết suy luận thống kê Bayes | ||
| 904 | |i Thuỳ, Năm | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||