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

2006-01-01
Gueven, Ilgehan
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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.
Statistics and Probability
https://hdl.handle.net/11511/63923
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Department of Statistics, Article

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Citation Formats
I. Gueven, “Minimum variance quadratic unbiased estimation for the variance components in simple linear regression with onefold nested error,” COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, pp. 1309–1318, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63923.
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