Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics) 6th Edition by Montgomery 9781119578758 1119578752

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

Product details:

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

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 contents:

CHAPTER 1: INTRODUCTION

CHAPTER 2: SIMPLE LINEAR REGRESSION

CHAPTER 3: MULTIPLE LINEAR REGRESSION

CHAPTER 4: MODEL ADEQUACY CHECKING

CHAPTER 5: TRANSFORMATIONS AND WEIGHTING TO CORRECT MODEL INADEQUACIES

CHAPTER 6: DIAGNOSTICS FOR LEVERAGE AND INFLUENCE

CHAPTER 7: POLYNOMIAL REGRESSION MODELS

CHAPTER 8: INDICATOR VARIABLES

CHAPTER 9: MULTICOLLINEARITY

CHAPTER 10: VARIABLE SELECTION AND MODEL BUILDING

CHAPTER 11: VALIDATION OF REGRESSION MODELS

CHAPTER 12: INTRODUCTION TO NONLINEAR REGRESSION

CHAPTER 13: GENERALIZED LINEAR MODELS

CHAPTER 14: REGRESSION ANALYSIS OF TIME SERIES DATA

CHAPTER 15: OTHER TOPICS IN THE USE OF REGRESSION ANALYSIS

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