Minimum variance quadratic unbiased estimation for the variance components in simple linear regression with onefold nested error

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Atıf İçin Kopyala

Gueven I.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, cilt.35, sa.7, ss.1309-1318, 2006 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 35 Sayı: 7
• Basım Tarihi: 2006
• Doi Numarası: 10.1080/03610920600692706
• Dergi Adı: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.1309-1318
• Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

The explicit forms of the minimum variance quadratic unbiased estimators (MIVQUEs) of the variance components are given for simple linear regression with onefold nested error. The resulting estimators are more efficient as the ratio of the initial variance components estimates increases and are asymptotically efficient as the ratio tends to infinity.