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Introduction to Linear Regression Analysis by Douglas C. Montgomery

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Introduction to Linear Regression Analysis

Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining

Wiley · Print & ebook · March 16, 2021

Reading lane: Regression Analysis

A Mathematics pick for readers exploring Introduction to Linear Regression Analysis.

At a Glance

Who It's For

Readers applying regression in engineering, management, or health sciences

Book Details

Authors
Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Publisher
Wiley
Published
March 16, 2021
Format
Print & ebook
Theme
Regression Analysis · Linear Algebra
Reading lane
Regression Analysis

Affinity

Publisher Categories

  • Linear Algebra

  • Regression Analysis

About This Book

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 t...

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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.

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