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|a 519.5/42
|2 22
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|a Congdon, P.
|9 3973
|e συγγραφέας.
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1 |
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|a Applied Bayesian modelling /
|c Peter Congdon.
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| 260 |
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|a Chichester, West Sussex, England ;
|a Hoboken, NJ :
|b Wiley,
|c c2003.
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| 300 |
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|a 1 ηλεκτρονική πηγή (xii, 457 σ.) :
|b εικ.
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| 490 |
1 |
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|a Wiley series in probability and statistics
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| 504 |
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|a Includes bibliographical references and index.
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0 |
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|a Applied Bayesian Modelling; Contents; Preface; Chapter 1 The Basis for, and Advantages of, Bayesian Model Estimation via Repeated Sampling; Chapter 2 Hierarchical Mixture Models; Chapter 3 Regression Models; Chapter 4 Analysis of Multi-Level Data; Chapter 5 Models for Time Series; Chapter 6 Analysis of Panel Data; Chapter 7 Models for Spatial Outcomes and Geographical Association; Chapter 8 Structural Equation and Latent Variable Models; Chapter 9 Survival and Event History Models; Chapter 10 Modelling and Establishing Causal Relations: Epidemiological Methods and Models; Index.
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| 520 |
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|a The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences.
|
| 650 |
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4 |
|a Μπεϋζιανή στατιστική θεωρία αποφάσεων
|9 174958
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| 650 |
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4 |
|a Μαθηματική στατιστική
|9 2837
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| 655 |
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0 |
|a Ηλεκτρονικά βιβλία
|
| 830 |
|
0 |
|a Wiley series in probability and statistics
|9 164260
|
| 856 |
4 |
0 |
|u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=83729
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| 942 |
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|2 ddc
|c ERS
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