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Estimating common standard deviation of two normal populations with ordered means

机译:用有序均值估计两个正态总体的公共标准差

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Independent random samples are taken from two normal populations with means (mu _1) and (mu _2) and a common unknown variance (sigma ^2.) It is known that (mu _1le mu _2.) In this paper, estimation of the common standard deviation (sigma ) is considered with respect to a scale invariant loss function. A general minimaxity result is proved and a class of minimax estimators is derived. An admissibility result is proved in this class. Further a class of equivariant estimators with respect to a subgroup of affine group is considered and dominating estimators in this class are obtained. The risk performance of some of these estimators is compared numerically.
机译:从两个均值分别为(mu _1)和(mu _2)且具有共同的未知方差(sigma ^ 2。)的正态总体中抽取独立的随机样本。已知(mu _1le mu _2)。在本文中,对共同点的估计关于标度不变损失函数考虑标准偏差(sigma)。证明了一般的极大极小值结果,并推导了一类极大极小估计量。在该类中证明了可接纳性结果。进一步针对仿射组的一个子集考虑一类等变估计量,并获得该类中的主要估计量。对其中一些估计量的风险绩效进行了数值比较。

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