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Bootstrapping - A Nonparametric Approach to Statistical Inference (Paperback) Loot Price: R1,346
Discovery Miles 13 460
Bootstrapping - A Nonparametric Approach to Statistical Inference (Paperback): Christopher Z. Mooney, Robert D. Duval

Bootstrapping - A Nonparametric Approach to Statistical Inference (Paperback)

Christopher Z. Mooney, Robert D. Duval

Series: Quantitative Applications in the Social Sciences

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Loot Price R1,346 Discovery Miles 13 460 | Repayment Terms: R126 pm x 12*

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"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.

General

Imprint: Sage Publications Ltd
Country of origin: United States
Series: Quantitative Applications in the Social Sciences
Release date: 2001
First published: August 1993
Authors: Christopher Z. Mooney • Robert D. Duval
Dimensions: 215 x 139 x 4mm (L x W x T)
Format: Paperback
Pages: 80
ISBN-13: 978-0-8039-5381-9
Categories: Books > Social sciences > Sociology, social studies > Social research & statistics > General
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LSN: 0-8039-5381-X
Barcode: 9780803953819

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