Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics) 6th Edition

Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics) 6th Edition- Ebook Instant Download/Delivery ISBN(s): 9781119578727,1119578728,9781119578758, 1119578752

Product detail:

• ISBN 10: 1119578752
• ISBN 13:9781119578758
• Author: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining

INTRODUCTION TO LINEAR REGRESSION ANALYSIS

A comprehensive and current introduction to the fundamentals of regression analysis

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.

Table of contents:

1. CHAPTER 1: INTRODUCTION
2. CHAPTER 2: SIMPLE LINEAR REGRESSION
3. CHAPTER 3: MULTIPLE LINEAR REGRESSION
4. CHAPTER 4: MODEL ADEQUACY CHECKING
5. CHAPTER 5: TRANSFORMATIONS AND WEIGHTING TO CORRECT MODEL INADEQUACIES
6. CHAPTER 6: DIAGNOSTICS FOR LEVERAGE AND INFLUENCE
7. CHAPTER 7: POLYNOMIAL REGRESSION MODELS
8. CHAPTER 8: INDICATOR VARIABLES
9. CHAPTER 9: MULTICOLLINEARITY
10. CHAPTER 10: VARIABLE SELECTION AND MODEL BUILDING
11. CHAPTER 11: VALIDATION OF REGRESSION MODELS
12. CHAPTER 12: INTRODUCTION TO NONLINEAR REGRESSION
13. CHAPTER 13: GENERALIZED LINEAR MODELS
14. CHAPTER 14: REGRESSION ANALYSIS OF TIME SERIES DATA

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