- 296 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Preface
- 1 Introduction to simultaneous statistical inference
- 2 Classification of multiple comparison methods
- 3 Multiple comparisons with a control
- 4 Multiple comparisons with the best
- 5 All-pairwise comparisons
- 6 Abuses and misconceptions in multiple comparisons
- 7 Multiple comparisons in the general linear model
- A Some useful probabilistic inequalities
- B Some useful geometric lemmas
- C Sample size computations
- D Accessing computer codes
- E Tables of critical values
- Bibliography
- Author index
- Subject index
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Yes, you can access Multiple Comparisons by Jason Hsu 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.