The Distributions of Smirnov-Type Two-Sample Rank Tests for Discontinuous Distribution Functions
نویسندگان
چکیده
منابع مشابه
An adaptive algorithm for clustering cumulative probability distribution functions using the Kolmogorov-Smirnov two-sample test
This paper proposes an adaptive algorithm for clustering cumulative probability distribution functions (c.p.d.f.) of a continuous random variable, observed in different populations, into the minimum homogeneous clusters, making no parametric assumptions about the c.p.d.f.’s. The distance function for clustering c.p.d.f.’s that is proposed is based on the KolmogorovSmirnov two sample statistic. ...
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WEN-XIN ZHOU1,2,* , CHAO ZHENG2,** and ZHEN ZHANG3 1Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA. E-mail: *[email protected] 2School of Mathematics and Statistics, University of Melbourne, Parkville, VIC 3010, Australia. E-mail: **[email protected] 3Department of Statistics, University of Chicago, Chicago, IL 60637,...
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ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series B (Methodological)
سال: 1983
ISSN: 0035-9246
DOI: 10.1111/j.2517-6161.1983.tb01254.x