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An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability)
 
 
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An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability) (Hardcover)

by Bradley Efron (Author), R.J. Tibshirani (Author) "Statistics is the science of learning from experience, especially experience that arrives a little bit at a time..." (more)
Key Phrases: jackknife data sets, infinitesimal jackknife estimate, maximum eigenvalue problem, Monte Carlo (more...)
4.8 out of 5 stars  (8 customer reviews)

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Editorial Reviews
Review
...an excellent book, and worth a reading by most students and practitioners in statistics... Throughout the book, the authors have spent a lot of effort in introducing difficult ideas in a simple, easy-to-understand manner...
- Hong Kong Statistical Society Newsletter

... written in a style that makes difficult statistical concepts easy to understand ...a wonderful text for the engineer who would like to apply and understand the many different bootstrap techniques that have appeared in the literature in the last fifteen years. It makes an excellent reference text that should grace the shelves of both statisticians and non-statisticians.
- Journal of Quality Technology

Product Description
Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.

See all Editorial Reviews

Product Details
  • Hardcover: 456 pages
  • Publisher: Chapman & Hall/CRC; 1 edition (May 15, 1994)
  • Language: English
  • ISBN-10: 0412042312
  • ISBN-13: 978-0412042317
  • Product Dimensions: 9.1 x 6.2 x 1.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: