Estimation and hypothesis testing in BIB design and robustness

Date

2009-07-01

Author

Tiku, Moti L.
ŞENOĞLU, BİRDAL

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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.

Subject Keywords

Statistics and Probability, Computational Theory and Mathematics, Applied Mathematics, Computational Mathematics

URI

https://hdl.handle.net/11511/65283

Journal

COMPUTATIONAL STATISTICS & DATA ANALYSIS

DOI

https://doi.org/10.1016/j.csda.2009.02.016

Collections

Department of Statistics, Article

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Citation Formats

M. L. Tiku and B. ŞENOĞLU, “Estimation and hypothesis testing in BIB design and robustness,” COMPUTATIONAL STATISTICS & DATA ANALYSIS, pp. 3439–3451, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65283.