ESTIMATION OF THE MEAN AND STANDARD-DEVIATION USING ORDER-STATISTICS

被引：4

作者：

DUNSTAN, FDJ

NIX, ABJ

机构：

[1] School of Mathematics, University of Wales College of Cardiff, Cardiff

来源：

STATISTICS IN MEDICINE | 1991年 / 10卷 / 06期

关键词：

D O I：

10.1002/sim.4780100608

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Estimation of the mean and standard deviation of a distribution using linear combinations of the order statistics of a censored sample is discussed. Existing methods are compared with the optimal estimator of this type and new approximations to the optimal estimator are proposed. Their performances in the presence of outliers are assessed by means of simulation.

引用

页码：855 / 869

页数：15

共 7 条

[1]

Downton F., Linear estimates with polynomial coefficients, Biometrika, 53, pp. 129-141, (1966)

[2]

David H.A., Gini's mean difference revisited, Biometrika, 55, pp. 573-575, (1968)

[3]

Healy M.J.R., A mean difference estimator of standard deviation in symmetrically censored normal samples, Biometrika, 65, pp. 643-646, (1978)

[4]

Prescott P., A mean difference estimator of standard deviation in asymmetrically censored normal samples, Biometrika, 66, pp. 684-686, (1979)

[5]

Barnett V., Lewis T., Outliers in Statistical Data, (1977)

[6]

Tukey J.W., McLaughlin D.M., Less vulnerable confidence and significance procedures for location based on a single sample: Trimming/Winsorization, Sankhya A, 25, pp. 351-352, (1963)

[7]

David H.A., Order Statistics, (1970)

← 1 →