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"This book provides both an elementary and a modern introduction to the bootstrap for students who do not have an extensive background in advanced mathematics. It offers reliable, hands-on coverage of the bootstrap's considerable advantages -- as well as its drawbacks. The book outpaces the competition by skillfully presenting results on improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems. To alert readers to the limitations of the method, the book exhibits counterexamples to the consistency of bootstrap methods. The authors take great care to draw connections between the more traditional resampling methods and the bootstrap, oftentimes displaying helpful computer routines in R. Emphasis throughout the book is on the use of the bootstrap as an exploratory tool including its value in variable selection and other modeling environments"--
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An introduction to bootstrap methods with applications to R
2011, Wiley
in English
0470467045 9780470467046
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Hoboken, N.J
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Includes bibliographical references and index.
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- Created July 26, 2011
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October 9, 2020 | Edited by ImportBot | import existing book |
September 25, 2020 | Edited by MARC Bot | import existing book |
August 2, 2020 | Edited by ImportBot | import existing book |
November 11, 2014 | Edited by Ana Tarazona | Update covers |
July 26, 2011 | Created by LC Bot | Imported from Library of Congress MARC record. |