Description
Book SynopsisA practical guide to selection, screening, and multiplecomparisons
This book addresses experimenters who have knowledge of classicalexperimental design methodology and expands their repertoire beyondhypothesis testing by providing statistical methods appropriate forselection, screening, and multiple comparisons. It concentrates onthree types of procedures: selection procedures that use theindifference-zone approach, screening procedures using thesubset approach, and multiple comparison procedures involvingnormal means. This is the first book, specifically designed forpractitioners, to bring into focus many developments in the fieldpreviously covered only in university courses. It also presents newresults on the comparison of procedures that have been obtainedspecifically for this volume.
This self-contained volume describes methods for designingexperiments when the scientific objective is selection of besttreatments, screening a set of treatments, and multiple compari
Table of ContentsThe Rationale of Selection, Screening and MultipleComparisons.
Selecting the Best Treatment in a Single-Factor Normal ResponseExperiment Using the Indifference-Zone Approach.
Selecting a Subset Containing the Best Treatment in a NormalResponse Experiment.
Multiple Comparison Approaches for Normal ResponseExperiments.
Problems Involving a Standard or Control Treatment in NormalResponse Experiments.
Selection Problems in Two-Factor Normal Response Experiments.
Selecting Best Treatments in Single-Factor Bernoulli ResponseExperiments.
Selection Problems for Categorical Response Experiments.
Appendices.
References.
Indexes.
