COMPUTATIONAL ASTROPHYSICS; KOLMOGOROFF-SMIRNOFF TEST; SPATIAL DISTRIBUTION; ALGORITHMS; DATA PROCESSING
Abstract :
[en] The authors derive a three-dimensional version of the well-known Kolmogorov-Smirnov test. Such a test is of great practical interest when one wishes to investigate the spatial distribution of a set of data points, particularly for the case of small size samples. A comparison with assumed three-dimensional density laws is made possible for most of current applications. A table of critical values of the new statistic is given for usual significance levels; empirical formulate to simulate the asymptotic behaviour are given as well. The tree-dimensional extended two-sided Kolmogorov-Smirnov test is shown to be sufficiently distribution-free.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Gosset, Eric ; Liege, Universitede l'Etat, Cointe-Ougree, Belgium
Language :
English
Title :
A three-dimensional extended Kolmogorov-Smirnov test as a useful tool in astronomy
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