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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....

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yusuf Can Sevil, Tugba Ozkal Yildiz
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2023-04-01
Schriftenreihe:Computer Sciences & Mathematics Forum
Schlagworte:
ranked set sampling
algorithm for sampling data
order statistics
dependence parameter
FGM family
maximum likelihood estimation
Online-Zugang:https://www.mdpi.com/2813-0324/7/1/11
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