Résumé :
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This book provides a systematic introduction to the theory of the jackknife, bootstrap, and other resampling methods that have been developed in the last twenty years. The authors have included examples of applying theses methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. The theoretical properties of the jackknife and bootstrap are studied in an asymptotic framework. Chapter 1 introduces the basis ideas and motivation for using theses methods. Chapter 2 and 3 cover their general theory, and sbsequent chapters cover topics such as bootstrap confidence sets and hypothesis tests, the computation issues in using the jackknife and bootstrap, sample survey problems, linear models, non-linear and non-parametric regression, survival and multivariate analysis, time series, and two related methods : the Bayesian boostrap and random weightings.
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