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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/3955

Google™ Scholar. Others By: Justel, Ana - Peña, Daniel - Zamar, Rubén
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Title: A multivariate Kolmogorov-Smornov test of goodnes of fit
Author(s): Justel, Ana
Peña, Daniel
Zamar, Rubén
Publisher: Universidad Carlos III de Madrid. Departamento de Estadística
Issued date: Sep-1994
URI: http://hdl.handle.net/10016/3955
Abstract: This paper presents a distribution free multivariate Kolmogorov-Smirnov goodıness of fit test. The test uses an 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 simulationı study.
Serie / Nº.: UC3M Working Papers. Statistics and Econometrics
1994-32-13
Keywords: Empirical distribution function
Kolmogorov-Smirnov statistics
Rosenblatt's transformation
Appears in Collections:DES - Working Papers. Statistics and Econometrics. WS

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