Abstract
It was shown (Cifarelli and Regazzini 1987) that maximal separation of two probability measures P and Q can be assessed by a maximal concentration curve of one of the probability measures with respect to the other. In case of two univariate distributions, one can measure their monotone separation by means of a monotone concentration curve and related numerical index ar. We are extending this idea into a multivariate case. We discuss properties of a proposed index of monotone separation of multivariate distributions, especially in relation to dependence and stochastic ordering, and show examples of how the index can be used in data analysis.
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© 2002 Springer Science+Business Media Dordrecht
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Kowalczyk, T., Niewiadomska-Bugaj, M. (2002). A New Grade Measure of Monotone Multivariate Separability. In: Cuadras, C.M., Fortiana, J., Rodriguez-Lallena, J.A. (eds) Distributions With Given Marginals and Statistical Modelling. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0061-0_15
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DOI: https://doi.org/10.1007/978-94-017-0061-0_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6136-2
Online ISBN: 978-94-017-0061-0
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