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Ranked Based Procedures for Ordered Alternative Models

Faculty Mentor

Dr. Joseph McKean

Department

Statistics

Presentation Date

4-24-2015

Document Type

Poster

Abstract

The ordered alternatives in a one-way layout with k ordered treatment levels are appropriate for many applications, especially in psychology and medicine. There is an extensive literature in this area, and many parametric and nonparametric approaches have been introduced. This study uses rank based estimators to robustify the Abelson-Tukey method. The approach extends to the two-way layout with b blocks and k treatments. One of the two statistics having maximum asymptotic local power and the greatest efficiency when the alternative hypothesis consists of a specific pattern, and extended research has been completed on detecting ordered alternatives with unknown peaks.

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