On Bivariate Distributions with Singular Part

Author:

Cuadras Carles M.1

Affiliation:

1. Department of Statistics, University of Barcelona, 08028 Barcelona, Spain

Abstract

There are many families of bivariate distributions with given marginals. Most families, such as the Farlie–Gumbel–Morgenstern (FGM) and the Ali–Mikhail–Haq (AMH), are absolutely continuous, with an ordinary probability density. In contrast, there are few families with a singular part or a positive mass on a curve. We define a general condition useful to detect the singular part of a distribution. By continuous extension of the bivariate diagonal expansion, we define and study a wide family containing these singular distributions, obtain the probability density, and find the canonical correlations and functions. The set of canonical correlations is described by a continuous function rather than a countable sequence. An application to statistical inference is given.

Publisher

MDPI AG

Reference30 articles.

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4. Nelsen, R.B. (2006). An Introduction to Copulas, Springer. [2nd ed.].

5. Drouet Mari, D., and Kotz, S. (2004). Correlation and Dependence, Imperial College Press.

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