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| 005 | 20251117144936.0 | ||
| 008 | 220909b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9780470467046 | ||
| 037 | _cTextbook | ||
| 040 |
_aCSL _beng _cCSL |
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| 041 | _aeng | ||
| 084 |
_aB2872 Q1;1 TB _qCSL |
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| 100 |
_aChernick, Michael R _eauthor _9851717 |
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| 245 | 0 | _aIntroduction to Boot Strap Methods with Applications to R | |
| 260 |
_aNew Jersey : _bJohn Wiley , _c2011 . |
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| 300 | _axviii,216p. | ||
| 500 | _aIncluded bibliographical references.; Author index 204-209p.; Subject index 210-218p. | ||
| 520 | _a Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments.The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. | ||
| 650 |
_aBootstrap methods. _9851718 |
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| 650 |
_aComputer program language. _9851719 |
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| 650 |
_aResampling. _9851720 |
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| 650 |
_aStatistics. _9851721 |
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| 700 |
_aLabudde, Robert A _eco-author _9851722 |
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| 942 |
_hB2872 Q1;1 TB _cTB _2CC _n0 |
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| 999 |
_c13607 _d13607 |
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