Exposes readers to many exciting and useful statistical techniques through real data examples, such as the mouse data, the stamp data, the tooth data and the hormone dataDescribes various techniques, including nonparametric regression, density estimation, classification trees, and least median squares regressionIncludes numerous exercises--some involving computing--that provide hands-on experience in applying the concepts and techniquesContains descriptions of a number of different computer programs for the methods discussedOffers a presentation accessible to non-specialists--scientists, engineers, and doctors--that will help them streamline their quantitative research Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.