Bayes decision rule of variance components for one-way random effects model is derived and empirical Bayes (EB) decision rules are constructed by kernel estimation method. Under suitable conditions, it is shown that the proposed EB decision rules are asymptotically optimal with convergence rates near O(n-1/2). Finally, an example concerning the main result is given.
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机译:Operational Test Command (OTC) analytic simulation and Instrumentation suite (OasIs) Brings Live players to the modeling architecture for Technology, Research, and EXperimentation (maTREX) and Other Benefits of maTREX-OasIs Teaming