| Titre : | Statistical Models/ Davison, A. C. |
| Type de document : | texte imprimé |
| Editeur : | Cambridge : Cambridge University press, 2008 |
| ISBN/ISSN/EAN : | 978-0-521-73449-3 |
| Format : | 738 p. / Tab., sch., fig., couv. en coul. / 25 cm. |
| Note générale : |
Fait partie de la série "Cambridge series in statistical and probabilistic mathematics"
Bibliogr. 699p.-711p. Index 712p.-726p. Annexe 695p.-698p. |
| Langues: | Anglais |
| Mots-clés: | statistics ; data analysis ; data sets ; bayesian statistics |
| Résumé : | This book is intended as an integrated modern account of statistical models covering the core topics for studies up to a masters degree in statistics. It can be used for a variety of courses at this level and for reference. After outlining basic notions, it contains a treatment of likelihood that includes non-regular cases and model selection, followed by sections on topics such as Markov processes, Markov random fields, point processes, censored and missing data, and estimating functions, as well as more standard material. Simulation is introduced early to give a feel for randomness, and later used for inference. There are major chapters on linear and nonlinear regression and on Bayesian ideas, the latter sketching modern computational techniques. Each chapter has a wide range of examples intended to show the interplay of subject-matter, mathematical, and computational considerations that makes statistical work so varied, so challenging, and so fascinating. |
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