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Bootstrapping A Nonparametric Approach to Statistical Inference

ISBN-10: 080395381X
ISBN-13: 9780803953819
Edition: 1993
List price: $22.00 Buy it from $20.48
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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  More...

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Book details

List price: $22.00
Copyright year: 1993
Publisher: SAGE Publications, Incorporated
Publication date: 8/9/1993
Binding: Paperback
Pages: 80
Size: 5.50" wide x 8.35" long x 0.25" tall
Weight: 0.198
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.

Introduction
Traditional Parametric Statistical Inference
Bootstrap Statistical Inference
Bootstrapping a Regression Model
Theoretical Justification
The Jackknife
Monte Carlo Evaluation of the Bootstrap
Statistical Inference Using the Bootstrap
Bias Estimation
Bootstrap Confidence Intervals
Applications of Bootstrap Confidence Intervals
Confidence Intervals for Statistics With Unknown Sampling Distributions
Inference When Traditional Distributional Assumptions Are Violated
Conclusion
Future Work
Limitations of the Bootstrap
Concluding Remarks

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