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The weighted bootstrap
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ISBN: 0387944788 9780387944784 1461225329 Year: 1995 Volume: 98 Publisher: New York: Springer,

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Bootstrap methods : a guide for practitioners and researchers
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ISBN: 9780471756217 0471756210 Year: 2008 Publisher: Hoboken: Wiley,

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Bootstrap methods : a practitioner's guide
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ISBN: 0471349127 9780471349129 Year: 1999 Publisher: New York: Wiley,

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Abstract

A comprehensive, practical treatment for professionals In less than two decades, the bootstrap has grown from an obscure object of theoretical study to a widely used resampling method with broad applications in numerous real-world situations. Bootstrap Methods: A Practitioner's Guide provides an introduction to the bootstrap for readers who have professional interest in these methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages as well as its drawbacks. This book updates classic texts in the field by presenting results on improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems. To alert readers to the limitations of the method, it exhibits counterexamples to the consistency of bootstrap methods. This book also makes connections between more traditional resampling methods and bootstrap. Outstanding special features of Bootstrap Methods include:* The most extensive and detailed bootstrap bibliography available, including more than 1,600 references* Discussions enlivened with stimulating topics such as data mining* Historical notes at the end of each chapter* Examples and explanations of when and why bootstrap is not effectiveBootstrap Methods is a serious, useful, and unparalleled practical guide for professionals in engineering, the sciences, clinical medicine, and applied statistics.


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Statistics for engineers and scientists
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ISBN: 9781266115837 9781266672910 9781265875855 1266115838 Year: 2024 Publisher: New York, New York : McGraw Hil Education,

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"The idea for this book grew out of discussions between the statistics faculty and the engineering faculty at the Colorado School of Mines regarding our introductory statistics course for engineers. Our engineering faculty felt that the students needed substantial coverage of propagation of error, as well as more emphasis on modelfitting skills. The statistics faculty believed that students needed to become more aware of some important practical statistical issues such as the checking of model assumptions and the use of simulation"

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