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https://doi.org/10.1080/03610926.2018.1472788
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Cite Publication Date: Mar 14, 2019 | |
 Citations: 1 |
Affiliation: Anhui Normal University
Linearly admissible estimators on linear functions of regression coefficient are studied in a singular linear model and balanced loss when the design matrix has not full column rank. The sufficient and necessary conditions for linear estimators to be admissible are obtained respectively in homogeneous and inhomogeneous classes.
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