Estimation and hypothesis testing in BIB design and robustness


Tiku M. L., ŞENOĞLU B.

COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol.53, no.9, pp.3439-3451, 2009 (SCI-Expanded) identifier identifier

Abstract

Modified maximum likelihood estimators of the unknown parameters in a BIB design under non-normality of error distributions are obtained. They are shown to be more efficient and robust than the traditional least squares estimators. A test statistic for testing a linear contrast among treatment effects is developed. A real life example is given. (C) 2009 Elsevier B.V. All rights reserved.