A multivariate Kolmogorov-Smirnov test of goodness of fit
This paper presents a distribution-free multivariate Kolmogorov-Smirnov goodness-of-fit test. The test uses a statistic which is built using Rosenblatt's transformation and an algorithm is developed to compute it in the bivariate case. An approximate test, that can be easily computed in any dimension, is also presented. The power of these multivariate tests is studied in a simulation study.
Year of publication: |
1997
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Authors: | Justel, Ana ; Peña, Daniel ; Zamar, Rubén |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 35.1997, 3, p. 251-259
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Publisher: |
Elsevier |
Keywords: | Bonferroni inequality Empirical distribution function Kolmogorov-Smirnov statistics Rosenblatt's transformation |
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