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- Author: Douglas C Montgomery
- Publisher: Wiley
- ISBN-10: 1119578728
- ISBN-13: 9781119578727
- Format: 18.5 x 25.7 x 3.1 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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:
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.
EXTRA 10 % discount with code: EXTRA
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- Author: Douglas C Montgomery
- Publisher: Wiley
- ISBN-10: 1119578728
- ISBN-13: 9781119578727
- Format: 18.5 x 25.7 x 3.1 cm, hardcover
- Language: English English
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:
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.
Reviews