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Linear Bayesian estimator shows improved performance in estimating parameters under inequality constraints, suggesting enhanced accuracy in modeling.
In this paper, linear Bayesian estimator for parameter vector of linear model with an inequality constraint is considered. Firstly, linear Bayesian estimator is constructed based on the inequality constrained least-squared estimator of parametric vector. Secondly, the dominance properties for proposed estimator are analyzed by mean square error matrix. Finally, a simulation study and real data analysis are performed to illustrate the theoretical results, respectively. It is shown that linear Bayesian estimator dominates the inequality constrained least-squared estimator and approaches Bayesian estimator.
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Hu et al. (2026) studied this question.
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