Two generalized bivariate FGM distributions and rank reduction

Cuadras C.M.; Diaz W.; Salvo-Garrido S.

Keywords: Gumbel, 60E05 (secondary); 62H20 (primary); Farlie, Morgensten distribution; bivariate copulas; pearson contingency coefficient; rank of a distribution; stochastic dependence

Abstract

The Farlie-Gumbel-Morgensten (FGM) family of bivariate distributions with given marginals, is frequently used in theory and applications and has been generalized in many ways. With the help of two auxiliary distributions, we propose another generalization and study its properties. After defining the rank of a distribution as the cardinal of the set of canonical correlations, we prove that some well-known distributions have practically rank two. Consequently we introduce several extended FGM families of rank two and study how to approximate any bivariate distribution to a simpler one belonging to this family.

Más información

Título según SCOPUS: Two generalized bivariate FGM distributions and rank reduction
Título de la Revista: Communications in Statistics - Theory and Methods
Volumen: 49
Número: 23
Editorial: Taylor and Francis Inc.
Fecha de publicación: 2020
Página final: 5665
Idioma: English
DOI:

10.1080/03610926.2019.1620780

Notas: SCOPUS