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

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Title: Bootstrapping: A Nonparametric Approach to Statistical Inference (Quantitative Applications in the Social Sciences, Vol 95)
by Christopher Z. Mooney, Robert D. Duval
ISBN: 0-8039-5381-X
Publisher: Sage Publications
Pub. Date: 01 September, 1993
Format: Paperback
Volumes: 1
List Price(USD): $15.95
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Average Customer Rating: 4 (1 review)

Customer Reviews

Rating: 4
Summary: Early introduction for the social sciences
Comment: 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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