E-Book, Englisch, 269 Seiten, eBook
Good Resampling Methods
1999
ISBN: 978-1-4757-3049-4
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Practical Guide to Data Analysis
E-Book, Englisch, 269 Seiten, eBook
ISBN: 978-1-4757-3049-4
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
-- Technometrics
This work is a practical, table-free introduction to data analysis using the bootstrap, cross-validation, and permutation tests; new to the second edition are several additional examples and a chapter dedicated to regression, data mining techniques, and their limitations. The book’s many exercises, practical data sets, and use of free shareware make it an essential resource for students and teachers, as well as industrial statisticians, consultants, and research professionals.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1 Descriptive Statistics.- 2 Cause and Effect.- 3 Testing Hypotheses.- 4 When the Distribution Is Known.- 5 Estimation.- 6 Power of a Test.- 7 Categorical Data.- 8 Experimental Design and Analysis.- 9 Multiple Variables and Multiple Hypotheses.- 10 Classification and Discrimination.- 11 Survival Analysis and Reliability.- 12 Which Statistic Should I Use?.- 1 Program Your Own Resampling Statistics.- 2 C++, SC, and Stata Code for Permutation Tests.- 3 SAS and S-PLUS Code for Bootstraps.- 4 Resampling Software.- Bibliographical References.
