The Maximum Likelihood Degree of Farlie Gumbel Morgenstern Bivariate Exponential Distribution

2025/02/06 by Pooja Yadav, Yadav, Pooja, Tanuja Srivastava +1
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Methods and Mixture Models #Commutative Algebra (math.AC) #FOS: Mathematics #Statistical Distribution Estimation and Applications #Statistics Theory (math.ST)

paper · pdf · doi:10.48550/arxiv.2502.04422

openalex publication_date 2025/02/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This paper examines the maximum likelihood degree of the parameter in Farlie-Gumbel-Morgenstern bivariate exponential distribution.

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