Introduction to Linear Regression Analysis 6/e [Montgomery] 9781119578727

Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.The new edition focuses on four key areas of improvement over the fifth edition:

• New exercises and data sets
• New material on generalized regression techniques
• The inclusion of JMP software in key areas
• Carefully condensing the text where possible

Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today’s cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.

頁數：704
版次：第6版
年份：2021年
規格：精裝/單色
ISBN：9781119578727

1. Introduction
2. Simple Linear Regression
3. Multiple Linear Regression
4. Model Adequacy Checking
5. Transformations and Weighting To Correct Model Inadequacies
6. Diagnostics For Leverage and Influence
7. Polynomial Regression Models
8. Indicator Variables
9. Multicollinearity
10. Variable Selection and Model Building
11. Validation of Regression Models
12. Introduction To Nonlinear Regression
13. Generalized Linear Models
14. Regression Analysis of Time Series Data
15. Other Topics in the Use of Regression Analysis
Appendix A. Statistical Tables
Appendix B. Data Sets For Exercises
Appendix C. Supplemental Technical Material
Appendix D. Introduction To SAS
Appendix E. Introduction To R To Perform Linear Regression Analysis