Adaptive Robust Profile Analysis of a Longitudinal Data
Gabriel Asare Okyere, Silverius Kwasi Bruku, Richard Tawiah, Gilbert Biney
Journal of Advances in Mathematics and Computer Science · pp. 1–18 · Published 17 Jul 2018
10.9734/JAMCS/2018/42361Abstract
This paper uses nine winsorized scores in the adaptive test of Hogg, Fisher and Randles and deals with its extension to hypothesis testing in profile analysis of a balanced longitudinal data. Simulation studies are conducted to evaluate the efficiency of the adaptive test procedure relative to the traditional ANOVA-F test for different non-normal data sets. To illustrate the feasibility of the test, we analyzed a real data set from the study of tumor sizes in mice.
Cited by 1
Sehar Saleem, Rehan Ahmad Khan Sherwani, Muhammad Amin · Communications in Statistics - Theory and Methods · 2021
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