9781119578727-1119578728-Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics)

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

ISBN-13: 9781119578727
ISBN-10: 1119578728
Edition: 6th ed.
Author: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Publication date: 2021
Publisher: Wiley
Format: Hardcover 673 pages
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Book details

ISBN-13: 9781119578727
ISBN-10: 1119578728
Edition: 6th ed.
Author: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Publication date: 2021
Publisher: Wiley
Format: Hardcover 673 pages

Summary

Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics) (ISBN-13: 9781119578727 and ISBN-10: 1119578728), written by authors Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining, was published by Wiley in 2021. With an overall rating of 3.6 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $42.55.

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:

  • 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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