A NONPARAMETRIC TEST FOR TYPE-I CENSORED-DATA - R SAMPLES

被引：1

作者：

ATKINSON, GF

MOUNT, K

机构：

[1] ENVIRONM CANADA,DIV APPL STAT,OTTAWA K1A 0H3,ONTARIO,CANADA

[2] UNIV MANITOBA,DEPT STAT,WINNIPEG R3T 2N2,MANITOBA,CANADA

来源：

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 1994年 / 22卷 / 01期

关键词：

CENSORED DATA; NONPARAMETRIC TEST; ASYMPTOTIC EFFICIENCY; MONTE-CARLO METHOD; ASYMPTOTIC DISTRIBUTION;

D O I：

10.2307/3315830

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];

摘要：

This paper is concerned with testing that r random samples are all from the same population when the data are left (or right) censored. A statistic is developed which has elements of a goodness-of-fit statistic and of a modified Kruskal-Wallis statistic. The efficiency of this statistic relative to some other commonly used statistics is calculated. Some Monte Carlo comparisons are given.

引用

页码：149 / 162

页数：14

共 13 条

[1]

ON 2 K-SAMPLE RANK TESTS FOR CENSORED DATA [J].