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Bootstrapping: A Nonparametric Approach to Statistical Inference

Bootstrapping: A Nonparametric Approach to Statistical Inference

Paperback

Series: Quantitative Applications in the Social Sciences, Book 95

General Sociology

ISBN10: 080395381X
ISBN13: 9780803953819
Publisher: Sage Publications, Inc
Published: Aug 9 1993
Pages: 80
Weight: 0.21
Height: 0.19 Width: 5.40 Depth: 8.66
Language: English
This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . . --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages.

Also from

Mooney, Christopher Z.

Also in

General Sociology