ON ESTIMATING PARAMETERS OF LINDLEY-GEOMETRIC DISTRIBUTION

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Eskişehir Technical University Journal of Science and Technology A - Applied Sciences Engineering
Volume:22 Issue:2
ON ESTIMATING PARAMETERS OF LINDLEY-GEOMETRIC DISTRIBUTION

ON ESTIMATING PARAMETERS OF LINDLEY-GEOMETRIC DISTRIBUTION

Authors : Caner TANIŞ, Kadir KARAKAYA

Pages : 160-167

Doi:10.18038/estubtda.816836

View : 49 | Download : 17

Publication Date : 2021-06-29

Article Type : Research Paper

Abstract :Lindley-geometric insert ignore into journalissuearticles values(LG); distribution is generated by compounding Lindley and geometric distribution. We tackle the problem of estimating parameters for LG distribution. For this purpose maximum likelihood, least-squares, weighted least-squares, Anderson-Darling and Crámer–von-Mises are used in order to estimate the two parameters of LG distribution. We also consider an extensive Monte Carlo simulation study to evaluate these methods according to the biases and mean-squared errors insert ignore into journalissuearticles values(MSEs);. Finally, eight real data applications are presented.
Keywords : Estimation of parameter, Geometric distribution, Lindley distribution, Lindley geometric distribution, Monte Carlo simulation

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