This thoroughly revised second edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It is an essential resource for industrial statisticians, statistical consultants, and research professionals in science, engineering, and technology. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity and versatility of the bootstrap, cross-validation and permutation tests. Students, professionals, and researchers will find it a particularly useful handbook for modern resampling methods and their applications.
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