Estimation and hypothesis testing in BIB design and robustness

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Tiku M. L., ŞENOĞLU B.

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

• Publication Type: Article / Article
• Volume: 53 Issue: 9
• Publication Date: 2009
• Doi Number: 10.1016/j.csda.2009.02.016
• Journal Name: COMPUTATIONAL STATISTICS & DATA ANALYSIS
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.3439-3451
• Middle East Technical University Affiliated: Yes

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.