Introduction to Linear Regression Analysis
eBook - ePub

Introduction to Linear Regression Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Introduction to Linear 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 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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    Yes, you can access Introduction to Linear Regression Analysis by Douglas C. Montgomery,Elizabeth A. Peck,G. Geoffrey Vining in PDF and/or ePUB format, as well as other popular books in Mathematics & Linear Algebra. We have over one million books available in our catalogue for you to explore.

    Information

    Publisher
    Wiley
    Year
    2021
    Print ISBN
    9781119578727
    eBook ISBN
    9781119578758
    Edition
    6
    Topic
    Mathematics
    Subtopic
    Linear Algebra
    Index
    Mathematics

    Table of contents

    1. COVER
    2. TABLE OF CONTENTS
    3. TITLE PAGE
    4. COPYRIGHT PAGE
    5. PREFACE
    6. ABOUT THE COMPANION WEBSITE
    7. CHAPTER 1: INTRODUCTION
    8. CHAPTER 2: SIMPLE LINEAR REGRESSION
    9. CHAPTER 3: MULTIPLE LINEAR REGRESSION
    10. CHAPTER 4: MODEL ADEQUACY CHECKING
    11. CHAPTER 5: TRANSFORMATIONS AND WEIGHTING TO CORRECT MODEL INADEQUACIES
    12. CHAPTER 6: DIAGNOSTICS FOR LEVERAGE AND INFLUENCE
    13. CHAPTER 7: POLYNOMIAL REGRESSION MODELS
    14. CHAPTER 8: INDICATOR VARIABLES
    15. CHAPTER 9: MULTICOLLINEARITY
    16. CHAPTER 10: VARIABLE SELECTION AND MODEL BUILDING
    17. CHAPTER 11: VALIDATION OF REGRESSION MODELS
    18. CHAPTER 12: INTRODUCTION TO NONLINEAR REGRESSION
    19. CHAPTER 13: GENERALIZED LINEAR MODELS
    20. CHAPTER 14: REGRESSION ANALYSIS OF TIME SERIES DATA
    21. CHAPTER 15: OTHER TOPICS IN THE USE OF REGRESSION ANALYSIS
    22. APPENDIX A: STATISTICAL TABLES
    23. APPENDIX B: DATA SETS FOR EXERCISES
    24. APPENDIX C: SUPPLEMENTAL TECHNICAL MATERIAL
    25. APPENDIX D: INTRODUCTION TO SAS
    26. APPENDIX E: INTRODUCTION TO R TO PERFORM LINEAR REGRESSION ANALYSIS
    27. REFERENCES
    28. INDEX
    29. WILEY SERIES IN PROBABILITY AND STATISTICS
    30. END USER LICENSE AGREEMENT