Analysis of Variance, Design, and Regression
eBook - ePub

Analysis of Variance, Design, and Regression

Linear Modeling for Unbalanced Data, Second Edition

  1. 610 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Analysis of Variance, Design, and Regression

Linear Modeling for Unbalanced Data, Second Edition

About this book

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data.

New to the Second Edition

  • Reorganized to focus on unbalanced data
  • Reworked balanced analyses using methods for unbalanced data
  • Introductions to nonparametric and lasso regression
  • Introductions to general additive and generalized additive models
  • Examination of homologous factors
  • Unbalanced split plot analyses
  • Extensions to generalized linear models
  • R, Minitab®, and SAS code on the author's website

The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Analysis of Variance, Design, and Regression by Ronald Christensen 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

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Edited Preface to First Edition
  9. Computing
  10. 1 Introduction
  11. 2 One Sample
  12. 3 General Statistical Inference
  13. 4 Two Samples
  14. 5 Contingency Tables
  15. 6 Simple Linear Regression
  16. 7 Model Checking
  17. 8 Lack of Fit and Nonparametric Regression
  18. 9 Multiple Regression: Introduction
  19. 10 Diagnostics and Variable Selection
  20. 11 Multiple Regression: Matrix Formulation
  21. 12 One-Way ANOVA
  22. 13 Multiple Comparison Methods
  23. 14 Two-Way ANOVA
  24. 15 ACOVA and Interactions
  25. 16 Multifactor Structures
  26. 17 Basic Experimental Designs
  27. 18 Factorial Treatments
  28. 19 Dependent Data
  29. 20 Logistic Regression: Predicting Counts
  30. 21 Log-Linear Models: Describing Count Data
  31. 22 Exponential and Gamma Regression: Time-to-Event Data
  32. 23 Nonlinear Regression
  33. Appendix A: Matrices and Vectors
  34. Appendix B: Tables
  35. References
  36. Author Index
  37. Subject Index