Bootstrapping

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.