Updated and expanded edition of a text for graduate and advanced undergraduate students of applied statistics. Differs most conspicuously from the 1983 edition in that exercises can now be found at the end of each of the fifteen chapters.
Updated and expanded edition of a text for graduate and advanced undergraduate students of applied statistics. Differs most conspicuously from the 1983 edition in that exercises can now be found at the end of each of the fifteen chapters.
"The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, provi…
The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, provid…
« The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, prov…
The accuracy of a sample mean; Random samples and probabilities; The empirical distribution function and the plug-in principle; standard errors estimated standard errors; The bootstrap estimate of standard error; Bootstrap standard errors: some example; More complicated data str…
"This Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multi…
Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Secon…