Bootstrapping: A Nonparametric Approach to Statistical Inference (Quantitative Applications in the Social Sciences) | 
 enlarge | Authors: Christopher Z. Mooney, Robert D. Duval
Publisher: Sage Publications, Inc
Category: Book
List Price: $16.95
Buy New: $14.00
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Rating:  2 reviews
Sales Rank: 221151
Media: Paperback
Edition: 1
Pages: 80
Number Of Items: 1
Shipping Weight (lbs): 0.3
Dimensions (in): 8.5 x 5 x 0.5
ISBN: 080395381X
Dewey Decimal Number: 300.15195
EAN: 9780803953819
Publication Date: August 9, 1993
Availability: Usually ships in 1-2 business days
Condition: New softcover book! FR3
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Product 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.
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| Customer Reviews:
simple introduction to bootstrap February 9, 2008
Michael R. Chernick (Holland PA)
26 out of 27 found this review helpful
This monograph is typical of the short monographs in the SAGE series. It provides a gentle (light on mathematics) introduction to the topic with social scientists in mind. Some applications are presented and it provides a good list of references. It was written prior to the now popular book by Efron and Tibshirani and others that followed. At times it is overly simplistic in order to provide concepts without much mathematics. However, most of the descriptions are accurate. It provides an intuitive understanding of bootstrap, presents some applications, exposes the wide variety of potential applications, puts things in an appropriate historical prospective and briefly describes situations where the bootstrap fails. My book "Bootstrap Methods" published by Wiley in 1999 has many of the same objectives and features of this monograph. For a thorough and more recent account of the literature and more detailed examples see my book. Other books including Efron and Tibshirani (1993), Davison and Hinkley (1997), Hall (1992), Shao and Tu (1995) and Manly (1997) provide more detail, theory and mathematics. This book is good though, as a place to get that first quick and gentle introduction to the subject.
Early introduction for the social sciences May 4, 2000
Michael R. Chernick (Malvern, PA)
23 out of 25 found this review helpful
This monograph is typical of the short monographs in the SAGE series. It provides a gentle (light on mathematics) introduction to the topic with social scientists in mind. Some applications are presented and it provides a good list of references. It was written prior to the now popular book by Efron and Tibshirani and others that followed. At times it is overly simplistic in order to provide concepts without much mathematics. However, most of the descriptions are accurate. It provides an intuitive understanding of bootstrap, presents some applications, exposes the wide variety of potential applications, puts things in an appropriate historical prospective and briefly describes situations where the bootstrap fails. My book "Bootstrap Methods" published by Wiley in 1999 has many of the same objectives and features of this monograph. For a thorough and more recent account of the literature and more detailed examples see my book. Other books including Efron and Tibshirani (1993), Davison and Hinkley (1997), Hall (1992), Shao and Tu (1995) and Manly (1997) provide more detail, theory and mathematics. This book is good though, as a place to get that first quick and gentle introduction to the subject.
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