Description
Presents an overview of the bootstrap method (of which Efron is the inventor) and related methods for assessing statistical accuracy. The first 19 chapters are expository and are accessible to non-specialists; the remaining chapters are at a higher mathematical level and make the text suitable for a graduate level course in statistics. Annotation copyright Book News, Inc. Portland, Or.
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<p><strong>An Introduction to the Bootstrap</strong> arms scientists, engineers, and statisticians with the computational techniques they need to analyze and understand complicated data sets. The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance, bias, coverage, and other probabilistic phenomena. This book presents an overview of the bootstrap and related methods for assessing statistical accuracy, concentrating on the ideas rather than their mathematical justification. Not just for beginners, the presentation starts off slowly, but builds in both scope and depth to ideas that are quite sophisticated.</p>
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