The maximum likelihood degree of Farlie-Gumbel-Morgenstern bivariate exponential distribution

Communication in Statistics- Theory and Methods 2026

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Authors: Pooja Yadav, Tanuja Srivastava
DOI: 10.1080/03610926.2025.2603642
Cited by: 0
References: 6

Abstract

The maximum likelihood degree of a statistical model refers to the number of solutions (over the complex field) to the system of equations given by setting the derivatives of the log-likelihood function to zero. This paper examines the maximum likelihood degree of the parameter in the Farlie-Gumbel-Morgenstern bivariate exponential distribution.

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Bayesian Methods and Mixture Models Statistical Methods and Bayesian Inference

Publication details

Journal / source
Communication in Statistics- Theory and Methods
Volume
55
Issue
13
Pages
4332–4337
Publication date
6 January 2026
Language
EN