Bootstrap Methods: A Guide for Practitioners and Researchers

by Michael R. Chernick

This book provides an introduction to the bootstrap for readers who have professional interest in its methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages - as well as its drawbacks. This Second Edition takes great care to draw connections between the more traditional resampling methods and the bootstrap and places even more emphasis on the use of the bootstrap as an exploratory tool including its value in variable selection and other modeling problems.

389 pages, Kindle Edition

First published November 12, 2007

Reviews

[Michael S · Rating 3 out of 5]

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