Regression Analysis By Example Using R
eBook - ePub

Regression Analysis By Example Using R

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

Regression Analysis By Example Using R

About this book

Regression Analysis By Example Using R

A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS

In the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.

The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R.

Readers will also find:

  • Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysis
  • Updated data sets and examples throughout the book
  • Complimentary access to a companion website that provides data sets in xlsx, csv, and txt format

Perfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.

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Yes, you can access Regression Analysis By Example Using R by Ali S. Hadi,Samprit Chatterjee in PDF and/or ePUB format, as well as other popular books in Mathematics & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2023
Print ISBN
9781119830870
eBook ISBN
9781119830894

Table of contents

  1. COVER
  2. TABLE OF CONTENTS
  3. TITLE PAGE
  4. COPYRIGHT
  5. DEDICATION
  6. PREFACE
  7. ABOUT THE COMPANION WEBSITE
  8. CHAPTER 1: INTRODUCTION
  9. CHAPTER 2: A BRIEF INTRODUCTION TO R
  10. CHAPTER 3: SIMPLE LINEAR REGRESSION
  11. CHAPTER 4: MULTIPLE LINEAR REGRESSION
  12. CHAPTER 5: REGRESSION DIAGNOSTICS: DETECTION OF MODEL VIOLATIONS
  13. CHAPTER 6: QUALITATIVE VARIABLES AS PREDICTORS
  14. CHAPTER 7: TRANSFORMATION OF VARIABLES
  15. CHAPTER 8: WEIGHTED LEAST SQUARES
  16. CHAPTER 9: THE PROBLEM OF CORRELATED ERRORS
  17. CHAPTER 10: ANALYSIS OF COLLINEAR DATA
  18. CHAPTER 11: WORKING WITH COLLINEAR DATA
  19. CHAPTER 12: VARIABLE SELECTION PROCEDURES
  20. CHAPTER 13: LOGISTIC REGRESSION
  21. CHAPTER 14: FURTHER TOPICS
  22. REFERENCES
  23. INDEX
  24. END USER LICENSE AGREEMENT