A Primer on Linear Models
eBook - PDF

A Primer on Linear Models

  1. 304 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

A Primer on Linear Models

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Table of contents
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About This Book

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample theory supporting common statistical methods.

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Yes, you can access A Primer on Linear Models by John F. Monahan in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2008
ISBN
9781420062045
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Table of Contents
  8. Preface
  9. 1: Examples of the General Linear Model
  10. 2: The Linear Least Squares Problem
  11. 3: Estimability and Least Squares Estimators
  12. 4: Gauss–Markov Model
  13. 5: Distributional Theory
  14. 6: Statistical Inference
  15. 7: Further Topics in Testing
  16. 8: Variance Components and Mixed Models
  17. 9: The Multivariate Linear Model
  18. Appendix A: Review of Linear Algebra
  19. Appendix B: Lagrange Multipliers
  20. Bibliography