Resampling Methods
A Practical Guide to Data Analysis
Published in September 1998
Book
Hardback
280 pages
978-3-7643-4091-9 (ISBN)
Description
The aim of this volume is to introduce statistical methodology-estimation, hypothesis, testing and classification to a wide audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods.
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Other editions
New editions
Book
02/1999
Birkhauser Boston Inc
€85.59
Article exhausted; check for reprint
Content
Descriptive statistics; cause and effect; testing a hypothesis; when the distribution is known; estimation; power of a test; categorical data; design of experiments; multiple variables; classification and discrimination; survival analysis and reliability; which technique should I use?. Appendices: program your own resampling methods; C++, SC and Stata Code for permutation test; SAS and Stata Code for the Bootstrap; software sources.