Estimating the Dependence Parameter of Farlie–Gumbel– Morgenstern-Type Bivariate Gamma Distribution Using Ranked Set Sampling

The goal of the present work is to estimate the nonlinear correlation between two random variables when the sample is drawn from a Farlie–Gumbel–Morgenstern (FGM)-type bivariate gamma distribution. In the context of estimating the dependence parameter, a maximum likelihood (ML) methodology is used....

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Главные авторы:	Yusuf Can Sevil, Tugba Ozkal Yildiz
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-04-01
Серии:	Computer Sciences & Mathematics Forum
Предметы:	ranked set sampling algorithm for sampling data order statistics dependence parameter FGM family maximum likelihood estimation
Online-ссылка:	https://www.mdpi.com/2813-0324/7/1/11
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