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Comparison of Estimators of Dispersion Matrix | Science Publications

机译:色散矩阵估计的比较科学出版物

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> Based on a sample, we considered the problem of estimating the dispersion matrix of a multivariate normal distribution with variance covariance matrix Σ. Empirical Bayes estimators and Haff estimators with their conditions, two proposed estimators of Σ, were the best affine equivariant estimators of dispersion matrix, which we compared them by three different loss functions.
机译: >基于样本,我们考虑了使用方差协方差矩阵Σ估计多元正态分布的色散矩阵的问题。经验性贝叶斯估计和Haff估计及其条件是Σ的两个拟议估计,是色散矩阵的最佳仿射等变估计,我们通过三种不同的损失函数将它们进行了比较。

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