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An Introduction to the Bootstrap

By: (Author) Bradley Efron , (Author) R.J. Tibshirani

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Ksh 27,000.00

Format: Hardback or Cased Book

ISBN-10: 0412042312

ISBN-13: 9780412042317

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: US

Country of Publication: GB

Publication Date: May 15th, 1994

Print length: 456 Pages

Weight: 754 grams

Dimensions (height x width x thickness): 23.50 x 15.90 x 2.80 cms

Product Classification: Probability & statistics
Applied mathematics

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An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.
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.

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