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Bootstrap Methods and Their Application
Abstract
This book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. Included with the book is a disk of purpose-written S-Plus programs for implementing the methods described in the text. Computer algorithms are clearly described, and computer code is included on a 3-inch, 1.4M disk for use with IBM computers and compatible machines. Users must have the S-Plus computer application. Author resource page: http://statwww.epfl.ch/davison/BMA/
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Metadata
- Authors
- Loughin, T. M., Davison, A. C., & Hinkley, D. V.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1999-03
- Volume
- 94
- Issue
- 445
- Pages
- 334
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2097879961
- Cited by
- 5,418
- References
- 0
- FWCI
- 148.05
- Type
- journal article
- Language
- en
- Open access
- closed
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