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On the Asymptotic Relation Between $L$-Estimators and $M$-Estimators and their Asymptotic Efficiency Relative to the Cramer-Rao Lower Bound

位置参数 L 估计量与 M 估计量的渐近关系及效率

This paper gives conditions under which $L$- and $M$-estimators of a location parameter have asymptotically the same distribution, conditions under which they are asymptotically equivalent and conditions under which $L$-estimators are asymptotically efficient relative to the Cramer-Rao lower bound. Our results differ from analogous results of Jung (1955), Bickel (1965), Chernoff, Gastwirth, Johns (1967), Jaeckel (1971) and Rivest (1978, 1982) in that we do not require that…

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Asymptotic Efficiencies of Quick Methods of Computing Efficient Estimates Based on Ranks

基于秩的高效估计快速计算方法的渐近效率

A class of simple methods of computing asymptotically efficient estimates which are asymptotically equivalent to centers of the confidence intervals from rank tests for a location parameter is described. Values of the asymptotic efficiencies are given for populations other than that used for construction of a particular estimate.

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Asymptotic Efficiencies of Quick Methods of Computing Efficient Estimates Based on Ranks

快速计算基于秩的有效估计量及其渐近效率

A class of simple methods of computing asymptotically efficient estimates which are asymptotically equivalent to centers of the confidence intervals from rank tests for a location parameter is described. Values of the asymptotic efficiencies are given for populations other than that used for construction of a particular estimate.

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Note on the Consistency of Some Distribution-Free Tests for Dispersion

若干分布无关离散程度检验的一致性札记

In this paper the consistency of the two-sample tests of Sukhatme [6], Ansari and Bradley [1], Siegel and Tukey [5], and Mood [3] is investigated. Each of these tests is a distribution-free analogue of the F-test for testing the equality of the variances of two normal distributions. If the two samples are taken from continuous distributions with the same median (say 0) and distribution functions F(x) and F(x/a) respectively, the hypothesis tested states that a = 1 and the…

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Note on the Consistency of Some Distribution-Free Tests for Dispersion

若干分布无关离散程度检验的一致性札记

In this paper the consistency of the two-sample tests of Sukhatme [6], Ansari and Bradley [1], Siegel and Tukey [5], and Mood [3] is investigated. Each of these tests is a distribution-free analogue of the F-test for testing the equality of the variances of two normal distributions. If the two samples are taken from continuous distributions with the same median (say 0) and distribution functions F(x) and F(x/a) respectively, the hypothesis tested states that a = 1 and the…

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