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Second-Order Efficiency for Two-Stage Estimation of a Linear Function of Normal Mean Vectors when Covariance Matrices Have Some Structures

机译:当协方差矩阵具有某些结构时,法线均值向量的线性函数的两阶段估计的二阶效率

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摘要

We consider two-stage estimation for a fixed-span confidence region about a linear function of mean vectors from π_i : N_p(μ_i, Σ_i), i = 1,..., k (≥ 2), when Σ_i's have some structures. The purpose of this article is to investigate asymptotic efficiency of the estimation up to the second order in terms of the sample size. An adjustment of the design constant and a proper choice of the initial sample size appearing in the two-stage estimation are proposed to have asymptotic second-order efficiency. Some simulations are carried out to see moderate sample size performances of the proposed two-stage estimation. An example is given for a demonstration.
机译:当Σ_i具有某些结构时,我们考虑关于均值的线性函数的固定跨度置信区域的两阶段估计:π_i:N_p(μ_i,Σ_i),i = 1,...,k(≥2)。本文的目的是研究在样本量方面直至二阶估计的渐近效率。提出了对设计常数的调整以及在两阶段估计中出现的初始样本大小的适当选择,以具有渐近的二阶效率。进行了一些模拟,以查看建议的两阶段估计的适度样本量性能。给出一个示例进行演示。

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