An Introduction to the Bootstrap

Bradley Efron, R.J. Tibshirani

May 15, 1994 by Chapman and Hall/CRC
Reference - 456 Pages
ISBN 9780412042317 - CAT# C4231
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

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Features

  • Exposes readers to many exciting and useful statistical techniques through real data examples, such as the mouse data, the stamp data, the tooth data and the hormone data
  • Describes various techniques, including nonparametric regression, density estimation, classification trees, and least median squares regression
  • Includes numerous exercises--some involving computing--that provide hands-on experience in applying the concepts and techniques
  • Contains descriptions of a number of different computer programs for the methods discussed
  • Offers a presentation accessible to non-specialists--scientists, engineers, and doctors--that will help them streamline their quantitative research
  • Summary

    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.