Description

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.

Introduction to Linear Regression Analysis, 6e Solutions Manual

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£25.50

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Paperback / softback by Douglas C. Montgomery , Elizabeth A. Peck

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Short Description:

A comprehensive and current introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, 6th Edition is the... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 15/09/2022
    ISBN13: 9781119578697, 978-1119578697
    ISBN10: 1119578698

    Number of Pages: 144

    Non Fiction , Mathematics & Science , Education

    Description

    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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