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" Resampling methods : "


Document Type : BL
Record Number : 723946
Doc. No : b543663
Main Entry : Phillip I. Good.
Title & Author : Resampling methods : : a practical guide to data analysis\ Phillip I. Good.
Publication Statement : Boston: Birkhäuser, ©1999.
Page. NO : (xii, 269 pages) : illustrations
ISBN : 1475730497
: : 1475730519
: : 9781475730494
: : 9781475730517
Contents : 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? --;Appendix 1. Program Your Own Resampling Methods --;Appendix 2. C++, SC and Stata Code for Permutation Test --;Appendix 3. SAS and Stata Code for the Bootstrap --;Appendix 4. Software Sources.
Abstract : 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.
Subject : Resampling
Subject : Resampling (Statistics)
Subject : Statistische analyse.
LC Classification : ‭QA278.8‬‭P455 1999‬
Added Entry : Phillip I Good
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