Resampling Methods: A Practical Guide to Data Analysis
Good, Phillip I.
Verkauft von SecondSale, Montgomery, IL, USA
AbeBooks-Verkäufer seit 20. Dezember 2007
Gebraucht - Hardcover
Zustand: Very Good
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von SecondSale, Montgomery, IL, USA
AbeBooks-Verkäufer seit 20. Dezember 2007
Zustand: Very Good
Anzahl: 1 verfügbar
In den Warenkorb legenItem in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Bestandsnummer des Verkäufers 00081668698
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 exercises, practical data sets, and freely available statistical shareware.
New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. 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.
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