Good Resampling Methods
3rd Auflage 2006
ISBN: 978-0-8176-4444-4
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Practical Guide to Data Analysis
E-Book, Englisch, 218 Seiten, Web PDF
Reihe: Mathematics and Statistics
ISBN: 978-0-8176-4444-4
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
Software for Resampling.- Estimating Population Parameters.- Comparing Two Populations.- Choosing the Best Procedure.- Experimental Design and Analysis.- Categorical Data.- Multiple Variables and Multiple Hypotheses.- Model Building.- Decision Trees.
