Existence conditions for the uniformly minimum risk unbiased estimators in a class of linear models
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Publication:1421859
DOI10.1016/S0047-259X(03)00058-7zbMath1032.62063OpenAlexW2042946143MaRDI QIDQ1421859
Publication date: 3 February 2004
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0047-259x(03)00058-7
Convex lossMatrix lossMultivariate normal distributionsMultivariate t-distributionsUniformly minimum risk unbiased estimators
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Cites Work
- Unnamed Item
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- Uniqueness conditions for maximum likelihood estimators in a multivariate linear model
- Estimation of parameters in a linear model
- Maximum likelihood estimators in multivariate linear normal models
- Double shrinkage estimation of common coefficients in two regression equations with hetersocedasticity
- Existence conditions of the uniformly minimum risk unbiased estimators in extended growth curve models
- Necessary and sufficient conditions for the existence of UMRU estimators in growth curve model
- Existence of SURU estimators in SURE model with special covariance structures
- EXACT FINITE-SAMPLE PROPERTIES OF A PRE-TEST ESTIMATOR IN RIDGE REGRESSION
- Estimation of the parameters of a regression model with a multivariate t error variable
- An extension of the growth curve model
- Bayesian and Non-Bayesian Analysis of the Regression Model with Multivariate Student-t Error Terms
- Existence of the uniformly minimum risk unbiased estimator in seemingly unrelated regression system
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias