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M. Ferreira, - Auteur ; H. Lee, - Auteur | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 2007ouvrage
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There are many books that are excellent sources of knowledge about individual statistical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield ".[...]ouvrage
Instead of presenting isolated techniques, this text emphasizes problem-solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation metho[...]ouvrage
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S. Lahiri, - Auteur | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 2003ouvrage
P. Andersen ; O. Borgan ; R. Gill ; N. Keiding | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 1993Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents [...]ouvrage
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S. Huet ; A. Bouvier ; M. Poursat ; E. Jolivet | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 2004This new edition, presents methods for analyzing data using parametric nonlinear regression models. The new edition has been expanded to include binomial, multinomial and Poisson non-linear models. Using examples from experiments in agronomy and[...]ouvrage
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P. Bühlmann, - Auteur ; S. Geer, - Auteur | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 2011Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, such as the Lasso and boosting methods. It al[...]ouvrage
T. Hastie, - Auteur ; R. Tibshirani, - Auteur ; J. Friedman, - Auteur | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 2001ouvrage
T. Hastie ; R. Tibshirani ; J. Friedmann | London [GBR] : Springer | Springer Series in Statistics, ISSN 0172-7397 | 2009During the past decade has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has[...]