<p><P>"<EM>…the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start.</EM>" </P><P>—Technometrics (Review of the Second Edition)</P><P>This thoroughly revise
Resampling Methods: A Practical Guide to Data Analysis
✍ Scribed by Phillip I. Good (auth.)
- Publisher
- Birkhäuser Boston
- Year
- 1999
- Tongue
- English
- Leaves
- 280
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Front Matter....Pages i-xii
Descriptive Statistics....Pages 1-25
Cause and Effect....Pages 26-45
Testing Hypotheses....Pages 46-66
When the Distribution Is Known....Pages 67-76
Estimation....Pages 77-96
Power of a Test....Pages 97-112
Categorical Data....Pages 113-129
Experimental Design and Analysis....Pages 130-155
Multiple Variables and Multiple Hypotheses....Pages 156-163
Classification and Discrimination....Pages 164-186
Survival Analysis and Reliability....Pages 187-198
Which Statistic Should I Use?....Pages 199-207
Back Matter....Pages 208-269
✦ Subjects
Database Management; Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Statistics for Life Sciences, Medicine, Health Sciences
📜 SIMILAR VOLUMES
<p><span>"</span><span>…the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start.</span><span>" Technometrics (Review of the Second Edition)</span></p><p><sp
<P>''<EM>…the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start.</EM>'' </P> <P>—Technometrics (Review of the Second Edition)</P> <P></P> <P>This t
Introduction -- Describing and Examining Data -- Creating and Using Graphs -- Comparing One or Two Means Using the t-Test -- Correlation and Regression -- Analysis of Categorical Data -- Analysis of Variance and Covariance -- Nonparametric Analysis Procedures -- Logistic Regression -- Factor Analysi