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A Smooth Nonparametric, Multivariate, Mixed-Data...
Journal article

A Smooth Nonparametric, Multivariate, Mixed-Data Location-Scale Test

Abstract

A number of tests have been proposed for assessing the location-scale assumption that is often invoked by practitioners. Existing approaches include Kolmogorov–Smirnov and Cramer–von Mises statistics that each involve measures of divergence between unknown joint distribution functions and products of marginal distributions. In practice, the unknown distribution functions embedded in these statistics are typically approximated using nonsmooth …

Authors

Racine JS; Van Keilegom I

Journal

Journal of Business and Economic Statistics, Vol. 38, No. 4, pp. 784–795

Publisher

Taylor & Francis

Publication Date

October 1, 2020

DOI

10.1080/07350015.2019.1574227

ISSN

0735-0015