Jackknife and Bootstrap
List price: $289.00
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Description: The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. 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. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $289.00
Copyright year: 1995
Publication date: 9/12/1996
Size: 6.50" wide x 9.75" long x 1.25" tall
|Theory for the Jackknife|
|Theory for the Bootstrap|
|Bootstrap Confidence Sets and Hypothesis Tests|
|Applications to Sample Surveys|
|Applications to Linear Models|
|Applications to Nonlinear, Nonparametric, and Multivariate Models|
|Applications to Time Series and Other Dependent Data|
|Bayesian Bootstrap and Random Weighting|
|Appendix A. Asymptotic Results|
|Appendix B. Notation|