
This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous...

The goal of this book is to introduce statistical methodology-estimation, hypothesis, testing and classification-to a wide applied audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods. The book provides an accessible introduction...

The aim of this volume is to introduce statistical methodology-estimation, hypothesis, testing and classification to a wide audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods.