# name
Transformed empirical processes and modified Kolmogorov-Smirnov tests for multivariate distributions

# metadata.dc.description[].value
Preprint enviat per a la seva publicació en una revista científica: The Annals of Statistics. Volume 25, Number 6 (1997), 2388-2409. [https://projecteuclid.org/euclid.aos/1030741078]

# metadata.dc.description.abstract[].value
A general way of constructing classes of goodness-of-fit tests for
multivariate samples is presented. These tests are based on a random
signed measure that plays the same role as the empirical process in the
construction of the classical Kolmogorov-Smirnov tests. The resulting
tests are consistent against any fixed alternative, and, for each sequence
of contiguous alternatives, a test in each class can be chosen so as to
optimize the discrimination of those alternatives.

# metadata.dc.relation.isformatof[].value
Reproducció digital del document original en paper [CRAI Biblioteca de Matemàtiques i Informàtica - Dipòsit Departament CAIXA 37.4]

# metadata.dc.source[].value
Preprints de Matemàtiques - Mathematics Preprint Series

# metadata.dc.subject.other[].value
Universitat de Barcelona. Institut de Matemàtica

# metadata.dc.title[].value
Transformed empirical processes and modified Kolmogorov-Smirnov tests for multivariate distributions