@article{article_781069, title={Estimating the Parameters of Xgamma Weibull Distribution}, journal={Adıyaman University Journal of Science}, volume={10}, pages={557–571}, year={2020}, DOI={10.37094/adyujsci.781069}, url={https://izlik.org/JA82HF94UD}, author={Karakaya, Kadir and Tanış, Caner}, keywords={Xgamma Weibull distribution, Maximum likelihood method, Least-squares method, Weighted least-squares method, Anderson-Darling method, Crámer–von-Mises estimation method}, abstract={In this paper, we consider a comparison of estimation methods for the parameters of Xgamma Weibull distribution. It is discussed five different estimation methods such as maximum likelihood method, least-squares method, weighted least-squares method, the method of Anderson-Darling and the method of Crámer–von-Mises. We compare these estimators via Monte Carlo simulations according to the biases and mean-squared errors (MSEs). Further, seven real data applications are conducted and Kolmogorov Smirnov goodness of fit test is also calculated for all estimators. <br />}, number={2}