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Minimum variance quadratic unbiased estimation for the variance components in simple linear regression with onefold nested error
Date
2006-01-01
Author
Gueven, Ilgehan
Metadata
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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.
Subject Keywords
Statistics and Probability
URI
https://hdl.handle.net/11511/63923
Journal
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
DOI
https://doi.org/10.1080/03610920600692706
Collections
Department of Statistics, Article
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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.