Estimation and hypothesis testing in BIB design and robustness

Tiku M. L., ŞENOĞLU B.

COMPUTATIONAL STATISTICS & DATA ANALYSIS, cilt.53, sa.9, ss.3439-3451, 2009 (SCI-Expanded) identifier identifier

  • 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.