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A nonparametric test for Type I censored data: r samples
Authors:G.F. Atkinson  K. Mount
Affiliation:1. Environment Canada Applied Statistics Division Ottawa, Ontario Canada;2. Department of Statistics University of Manitoba Winnipeg, Manitoba Canada R3T 2N2
Abstract:
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.
Keywords:Censored data  nonparametric test  asymptotic efficiency  Monte Carlo method  asymptotic distribution
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