Primer of Applied Regression and Analysis of Variance / Edition 1by Stanton A. Glantz
Pub. Date: 07/28/1990
Publisher: McGraw-Hill Professional Publishing
Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).
- McGraw-Hill Professional Publishing
- Publication date:
- Edition description:
- Older Edition
Table of ContentsWhy Do Multivariate Analysis?. The First Step: Understanding Simple Linear Regression. Regression With Two or More Independent Variables. Do the Data Fit the Assumptions?. Multicollinearity and What to Do About It. Selecting the "Best" Regression Model. One-Way Analysis of Variance. Two-Way Analysis of Variance. Repeated Measures. Mixing Continuous and Categorical Variables: Analysis of Covariance. Nonlinear Regression. Regression With a Qualitative Dependent Variable. APPENDIX A. A Brief Introduction to Matrices and Vectors. APPENDIX B. Statistical Package Cookbook. APPENDIX C. Data for Examples. APPENDIX D. Data for Problems. APPENDIX E. Statistical Tables. APPENDIX F. Solutions to Problems.
and post it to your social network
Most Helpful Customer Reviews
See all customer reviews >