首页> 外文期刊>Scientiae mathematicae Japonicae >ASYMPTOTIC IMPROVEMENT OF THE SAMPLE MEAN VECTOR FOR SEQUENTIAL POINT ESTIMATION OF A MULTIVARIATE NORMAL MEAN WITH A LINEX LOSS FUNCTION
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ASYMPTOTIC IMPROVEMENT OF THE SAMPLE MEAN VECTOR FOR SEQUENTIAL POINT ESTIMATION OF A MULTIVARIATE NORMAL MEAN WITH A LINEX LOSS FUNCTION

机译:带有线性损失函数的多元正态序列逐点估计的样本均值的渐近改进

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摘要

This paper considers sequential point estimations of the mean vector of a multivariate normal distribution under a LINEX loss function. It is shown that a sequential procedure with the sample mean as an estimate is asymptotically improved by the procedure with another estimate.
机译:本文考虑了LINEX损失函数下多元正态分布的均值向量的顺序点估计。结果表明,采用另一个均值的程序可以渐进地改善以样本均值作为估计值的顺序程序。

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