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090506 ||| eng |
| 020 |
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|a 9780470092378
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| 100 |
1 |
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|a Congdon, Peter
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| 245 |
0 |
0 |
|a Bayesian models for categorical data
|h Elektronische Ressource
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| 260 |
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|b John Wiley & Son
|c 2005
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| 300 |
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|a 447 S.
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| 546 |
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|a English
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| 653 |
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|a Statistics -- Probability & Mathematical Statistics
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b WILOB
|a Wiley Online Books
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| 490 |
0 |
|
|a Wiley series in probability and statistics
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| 028 |
5 |
0 |
|a 10.1002/0470092394
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| 776 |
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|z 9780470092392
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| 776 |
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|z 9780470092385
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| 856 |
4 |
0 |
|u http://onlinelibrary.wiley.com/book/10.1002/0470092394
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| 082 |
0 |
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|a 519
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| 520 |
3 |
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|a The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes.
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