This volume aims to provide an accessible multiple comparisons work, with an emphasis on proper application of the latest methods for confident directions interference and confidence intervals interference, empowered by modern computers. A classification system guides the reader to the multiple comparison method appropriate for each problem. Methods for all-pairwise multiple comparisons, multiple comparisons with a control, and multiple comparisons with the best are discussed. In addition to chapters on what to do, there is also a chapter on what not to do, exposing various misconceptions...
This volume aims to provide an accessible multiple comparisons work, with an emphasis on proper application of the latest methods for confident direct...
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.
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple compari...