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