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.
- ISBN10 080395381X
- ISBN13 9780803953819
- Publish Date 29 September 1993
- Publish Status Active
- Publish Country US
- Imprint SAGE Publications Inc
- Format Paperback
- Pages 80
- Language English
- URL https://uk.sagepub.com/booksProdDesc.nav?prodId=Book3980