Analysis of Messy Data Volume 1
eBook - PDF

Analysis of Messy Data Volume 1

Designed Experiments, Second Edition

  1. 674 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Analysis of Messy Data Volume 1

Designed Experiments, Second Edition

Book details
Table of contents
Citations

About This Book

A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t

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Yes, you can access Analysis of Messy Data Volume 1 by George A. Milliken, Dallas E. Johnson in PDF and/or ePUB format, as well as other popular books in Mathematik & Wahrscheinlichkeitsrechnung & Statistiken. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2009
ISBN
9781420010152
Edition
2
Topic
Mathematik
Subtopic
Wahrscheinlichkeitsrechnung & Statistiken

Table of contents

  1. Front cover
  2. Contents
  3. Chapter 1. The Simplest Case: One-Way Treatment Structure in a Completely Randomized Design Structure with Homogeneous Errors
  4. Chapter 2. One-Way Treatment Structure in a Completely Randomized Design Structure with Heterogeneous Errors
  5. Chapter 3. Simultaneous Inference Procedures and Multiple Comparisons
  6. Chapter 4. Basics for Designing Experiments
  7. Chapter 5. Multilevel Designs: Split-Plots, Strip-Plots, Repeated Measures and Combinations
  8. Chapter 6. Matrix Form of the Model
  9. Chapter 7. Balanced Two-Way Treatment Structures
  10. Chapter 8. Case Study: Complete Analyses of Balanced Two-Way Experiments
  11. Chapter 9. Using the Means Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers
  12. Chapter 10. Using the Effects Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers
  13. Chapter 11. Analyzing Large Balanced Two-Way Experiments Having Unequal Subclass Numbers
  14. Chapter 12. Case Study: Balanced Two-Way Treatment Structure with Unequal Subclass Numbers
  15. Chapter 13. Using the Means Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations
  16. Chapter 14. Using the Effects Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations
  17. Chapter 15. Case Study: Two-Way Treatment Structure with Missing Treatment Combinations
  18. Chapter 16. Analyzing Three-Way and Higher-Order Treatment Structures
  19. Chapter 17. Case Study: Three-Way Treatment Structure with Many Missing Treatment Combinations
  20. Chapter 18. Random Effects Models and Variance Components
  21. Chapter 19. Methods for Estimating Variance Components
  22. Chapter 20. Methods for Making Inferences about Variance Components
  23. Chapter 21. Case Study: Analysis of a Random Effects Model
  24. Chapter 22. Analysis of Mixed Models
  25. Chapter 23. Case Studies of a Mixed Model
  26. Chapter 24. Methods for Analyzing Split-Plot Type Designs
  27. Chapter 25. Methods for Analyzing Strip-Plot Type Designs
  28. Chapter 26. Methods for Analyzing Repeated Measures Experiments
  29. Chapter 27. Analysis of Repeated Measures Experiments When the Ideal Conditions Are Not Satisfied
  30. Chapter 28. Case Studies: Complex Examples Having Repeated Measures
  31. Chapter 29. Analysis of Crossover Designs
  32. Chapter 30. Analysis of Nested Designs
  33. Appendix
  34. References
  35. Index
  36. Back cover