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Bootstrap Methods and Their Application (Cambridge Series in Statistical and Probabilistic Mathematics , No 1)

Bootstrap Methods and Their Application (Cambridge Series in Statistical and Probabilistic Mathematics , No 1)

List Price: $39.95
Your Price: $37.31
Product Info Reviews

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Rating: 5 stars
Summary: Excellent recent text on bootstrap
Review: Like Efron and Tibshirani (1993) this book is designed as an introductory course text on the bootstrap. It covers the wide variety of applications and is up-to-date on this rapidly expanding area of research. The book is notable for its detailed examples and numerous problems. Also an enclosed diskette provides SPlus code to help the reader implement the bootstrap via the Monte Carlo approximations. Applications to time series and point processes are among the interesting new applications treated in the book. It is very well written. Chernick (1999) may also be of interest to readers of bootstrap as it ties the literature together and provides real world applications and examples where the bootstrap principle fails.

Rating: 5 stars
Summary: Book has my vote
Review: Relevant and clear in explanations throughout.

Rating: 5 stars
Summary: Exceptionally clear, concise and practical
Review: This book has an excellent ballance between practice and theory. It presents the bootstrap as the powerful tool it is through the ellucidation of practical issues. I strongly recommend this book for everyone interested in improving statistical practice.

Rating: 5 stars
Summary: you get your money's worth
Review: This book is loaded with good text book examples and covers a wide variety of bootstrap applications. It is great as a reference book on the bootstrap or as a course text at a graduate level. Chernick (1999) is a little more up-to-date and covers the classifcation error rate estimation problem that is not addressed in this text. Chernick (1999) also has many more references. Efron and Tibshirani (1993) is another fine text that is a little more intuition based with less mathematics. Fieller's problem with ratio estimation and some other gems are well covered in Efron and Tibshirani but not here. Davison and Hinkley do the best job on time series of any of the bootstrap books with details about moving block bootstrap and some interesting applications.


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