Characterizations of Bivariate Pareto and Yule Distributions
Evdokia Xekalaki, Caterina Dimaki
Abstract
Evdokia Xekalaki, Caterina Dimaki
Abstract
This article provides two characterizations of Mardia's Type I bivariate Pareto distribution. In particular, it is shown that the distribution of a random vector (X, Y) is uniquely determined as a Mardia's Type I bivariate Pareto distribution if its weighted form follows a Mardia's Type I bivariate Pareto distribution. Furthermore, this distribution is characterized by a condition on its tail probabilities. Analogous results hold for the bivariate extension of the Yule distribution which can be considered as the discrete analogue of the distribution under study.
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This article provides two characterizations of Mardia's Type I bivariate Pareto distribution. In particular, it is shown that the distribution of a random vector (X, Y) is uniquely determined as a Mardia's Type I bivariate Pareto distribution if its weighted form follows a Mardia's Type I bivariate Pareto distribution. Furthermore, this distribution is characterized by a condition on its tail probabilities. Analogous results hold for the bivariate extension of the Yule distribution which can be considered as the discrete analogue of the distribution under study.
Key concepts: Bivariate analysis, Pareto distribution, Lomax distribution, Mathematics, Pareto principle, Pareto interpolation, Generalized Pareto distribution, Extension (predicate logic)