Further Results on the Bivariate Semi-parametric Singular Family of Distributions

12/27/2022
by   Durga Vasudevan, et al.
0

General classes of bivariate distributions are well studied in literature. Most of these classes are proposed via a copula formulation or extensions of some characterisation properties in the univariate case. In Kundu(2022) we see one such semi-parametric family useful to model bivariate data with ties. This model is a general semi-parametric model with a baseline. In this paper we present a characterisation property of this class of distributions in terms of a functional equation. The general solution to this equation is explored. Necessary and sufficient conditions under which the solution becomes a bivariate distribution is investigated.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/07/2020

On the unique solution of the generalized absolute value equation

In this paper, some useful necessary and sufficient conditions for the u...
research
01/28/2021

Sufficient conditions for the unique solution of a class of new Sylvester-like absolute value equation

In this paper, a class of new Sylvester-like absolute value equation (AV...
research
06/27/2021

Necessary and sufficient conditions for regularity of interval parametric matrices

Matrix regularity is a key to various problems in applied mathematics. T...
research
10/22/2020

Fading Boundaries: On a Nonparametric Variant of the Kiefer–Weiss Problem

A nonparametric variant of the Kiefer–Weiss problem is proposed and inve...
research
03/13/2018

Semi-BCI Algebras

The notion of semi-BCI algebras is introduced and some of its properties...
research
04/14/2021

Dependent censoring based on copulas

Consider a survival time T that is subject to random right censoring, an...
research
01/13/2021

On Misspecification in Prediction Problems and Robustness via Improper Learning

We study probabilistic prediction games when the underlying model is mis...

Please sign up or login with your details

Forgot password? Click here to reset