New PDF release: Bootstrap Methods: A Guide for Practitioners and Researchers

By Michael R. Chernick

ISBN-10: 0471756210

ISBN-13: 9780471756217

A sensible and available creation to the bootstrap method——newly revised and updated

Over the previous decade, the applying of bootstrap tips on how to new parts of research has improved, leading to theoretical and utilized advances throughout numerous fields. Bootstrap Methods, moment version is a hugely approachable consultant to the multidisciplinary, real-world makes use of of bootstrapping and is perfect for readers who've a certified curiosity in its tools, yet are with out a complicated history in mathematics.

Updated to mirror present strategies and the main updated paintings at the subject, the Second Edition features:

  • The addition of a moment, prolonged bibliography committed completely to courses from 1999–2007, that's a worthwhile selection of references at the most up-to-date examine within the field

  • A dialogue of the recent parts of applicability for bootstrap tools, together with use within the pharmaceutical for estimating person and inhabitants bioequivalence in scientific trials

  • A revised bankruptcy on while and why bootstrap fails and treatments for overcoming those drawbacks

  • Added insurance on regression, censored facts purposes, P-value adjustment, ratio estimators, and lacking data

  • New examples and illustrations in addition to broad old notes on the finish of every chapter

With a robust specialise in software, specified factors of technique, and whole assurance of contemporary advancements within the box, Bootstrap Methods, moment variation is an critical reference for utilized statisticians, engineers, scientists, clinicians, and different practitioners who frequently use statistical equipment in study. it's also compatible as a supplementary textual content for classes in data and resampling tools on the upper-undergraduate and graduate levels.

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Bootstrap Methods: A Guide for Practitioners and Researchers (Wiley Series in Probability and Statistics) by Michael R. Chernick

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