Estimation and hypothesis testing in BIB design and robustness
COMPUTATIONAL STATISTICS & DATA ANALYSIS, cilt.53, sa.9, ss.3439-3451, 2009 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 53 Sayı: 9
- Basım Tarihi: 2009
- Doi Numarası: 10.1016/j.csda.2009.02.016
- Dergi Adı: COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.3439-3451
- Ankara Üniversitesi Adresli: Evet
Özet
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.