Linear statistical models : an applied approach
著者
書誌事項
Linear statistical models : an applied approach
（The Duxbury classic series）
Duxbury Press, c1990
2nd ed.
- : pbk
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注記
Includes bibliographical references (p. 1011-1012) and index
内容説明・目次
内容説明
The focus of Linear Statistical Models: An Applied Approach, Second Editon, is on the conceptual, concrete, and applied aspects of model building, data analysis, and interpretaion. Without sacrificing depth and breadth of coverage, Bruce L. Bowerman and Richard T. O'Connell's clear and concise explanantions make the material accessible even to those with limited statistical experience.
目次
1. Introduction to Regression Analysis 2. Populations, Samples and Probability Distributions 3. Basic Statistical Inference 4. The Simple Linear Regression Model 5. Inference in Linear Regression 6. The Assumptions Behind Regression Analysis 7. Matrix Algebra 8. Multiple Regression I 9. Multiple Regression II 10. Some Problems and Remedies 11. Model Building 12. Dummy Variables and Advanced Statistical Inferences 13. Remedies for Violations of the Regression Assumptions 14. One-Factor Analysis 15. Two Factor Analysis I 16. Two Factor Analysis II 17. The Randomized Block and Latin Square Designs Appendices / Index
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