A NOTE ON NONPARAMETRIC-ESTIMATION OF THE DISTRIBUTION FUNCTION FROM INTERVAL-CENSORED AND TRUNCATED OBSERVATIONS

被引：3

作者：

FRYDMAN, H

机构：

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL | 1994年 / 56卷 / 01期

关键词：

INTERVAL CENSORING; NONPARAMETRIC ESTIMATION; TRUNCATION;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper is concerned with the nonparametric estimation of the distribution function F from interval-censored and truncated data as discussed by Turnbull. It is observed that Tumbull's characterization of F, the maximum likelihood estimator of F, is not applicable in general when the data are interval censored and truncated. It is shown, however, that Tumbull's characterization can be easily modified to obtain the appropriate characterization of F.

引用

页码：71 / 74

页数：4

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