@article{article_816836, title={ON ESTIMATING PARAMETERS OF LINDLEY-GEOMETRIC DISTRIBUTION}, journal={Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering}, volume={22}, pages={160–167}, year={2021}, DOI={10.18038/estubtda.816836}, author={Tanış, Caner and Karakaya, Kadir}, keywords={Estimation of parameter, Geometric distribution, Lindley distribution, Lindley-geometric distribution, Monte Carlo simulation}, abstract={Lindley-geometric (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 (MSEs). Finally, eight real data applications are presented.}, number={2}, publisher={Eskisehir Technical University}