Resampling Methods

This thoroughly revised and expanded edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.§Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work. The book includes a systematic guide to selecting the correct procedure for a particular application. With detailed coverage of classification, estimation, experimental design, hypothesis testing, and modeling. It is suitable for both classroom use and individual self-study. A glossary and answers to selected exercises are included. §With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.