Estimation and hypothesis testing in BIB design and robustness

Moti L. Tiku and Birdal Senoglu

Computational Statistics & Data Analysis, 2009, vol. 53, issue 9, 3439-3451

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.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:53:y:2009:i:9:p:3439-3451

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