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Sage Publications Bootstrapping: A Nonparametric Approach to Statistical Inference: 95 (Quantitative Applications in the Social Sciences)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 August 1993
Listed Since
02 February 2007

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