Randomization Tests
eBook - PDF

Randomization Tests

  1. 376 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests.

Updated, reorganized, and revised, the text emphasizes the irrelevance and implausibility of the random sampling assumption for the typical experiment in three completely rewritten chapters. It also discusses factorial designs and interactions and combines repeated-measures and randomized block designs in one chapter. The authors focus more attention on the practicality of N-of-1 randomization tests and the availability of user-friendly software to perform them. In addition, they provide an overview of free and commercial computer programs for all of the tests presented in the book.

Building on the previous editions that have served as standard textbooks for more than twenty-five years, Randomization Tests, Fourth Edition includes downloadable resources of up-to-date randomization test programs that facilitate application of the tests to experimental data. This CD-ROM enables students to work out problems that have been added to the chapters and helps professors teach the basics of randomization tests and devise tasks for assignments and examinations.

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Yes, you can access Randomization Tests by Eugene Edgington,Eugene Edgington,Patrick Onghena 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. Front cover
  2. Preface to the Fourth Edition
  3. Preface to the Third Edition
  4. Preface to the Second Edition
  5. Preface to the First Edition
  6. Authors
  7. Table of Contents
  8. Chapter 1. Statistical Tests that Do Not Require Random Sampling
  9. Chapter 2. Randomized Experiments
  10. Chapter 3. Calculating P-Values
  11. Chapter 4. Between-Subjects Designs
  12. Chapter 5. Factorial Designs
  13. Chapter 6. Repeated-Measures and Randomized Block Designs
  14. Chapter 7. Multivariate Designs
  15. Chapter 8. Correlation
  16. Chapter 9. Trend Tests
  17. Chapter 10. Matching and Proximity Experiments
  18. Chapter 11. N-of-1 Designs
  19. Chapter 12. Tests of Quantitative Laws
  20. Chapter 13. Tests of Direction and Magnitude of Effect
  21. Chapter 14. Fundamentals of Validity
  22. Chapter 15. General Guidelines and Software Availability
  23. Back cover