ABSTRACT

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

chapter 3|38 pages

Multiple comparisons with a control

chapter 4|38 pages

Multiple comparisons with the best

chapter 5|56 pages

All-pairwise comparisons

chapter |5 pages

B Some useful geometric lemmas

chapter C|7 pages

Sample size computations

chapter |2 pages

D Accessing computer codes

chapter |13 pages

E Tables of critical values