Computer-generated change-over designs for correlated observations

Abstract

Change-over designs with independently distributed errors in the model have been studied extensively in the literature. Martin and Eccleston (2001) gave an algorithm for the generation of efficient change-over designs when the errors are correlated. This article proposes an algorithm for the generation of efficient change-over designs for estimation of direct effects of treatments in the presence of first-order residual effects in the model and when the errors are correlated. Copyright © Taylor & Francis Group, LLC.

Publication Title

Communications in Statistics - Theory and Methods

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