"a ]the author has packaged an excellent and modern set of topics
around the development and use of quantitative models.... If you
need to learn about resampling, this book would be a good place to
start."
a "Technometrics (Review of the Second Edition)
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, the book provides a table-free
introduction to data analysis utilizing numerous exercises,
practical data sets, and freely available statistical
shareware.
Topics and Features
* Practical presentation covers both the bootstrap and
permutations along with the program code necessary to put them to
work.
* Includes a systematic guide to selecting the correct procedure
for a particular application.
* Detailed coverage of classification, estimation, experimental
design, hypothesis testing, and modeling.
* Suitable for both classroom use and individual self-study.
New to the Third Edition
* Procedures are grouped by application; a prefatory chapter
guides readers to the appropriate reading matter.
* Program listings and screen shots now accompany each
resampling procedure: Whether one programs in C++, CART, Blossom,
Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats,
SAS macros, S-PLUS, Stata, or StatXact, readers will find the
program listings and screen shots needed to put each resampling
procedure into practice.
* To simplify programming, code for readers to download and
apply is posted at http:
//www.springeronline.com/0-8176-4386-9.
* Notation has beensimplified and, where possible,
eliminated.
* 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.
General
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