Abstract
In this paper, we study the modified Weibull extension distribution by utilizing the Monte Carlo method in the simulation procedure to generate various sample sizes with various replicates of the sample size and using this simulation to compare two estimation methods, the maximum likelihood estimator method and the rank set sampling estimator method, to get the best estimate for the unknown parameters of the modified Weibull extension distribution. It is noted that mean square error values for the maximum likelihood estimator method are better than mean square error values for the rank set sampling estimator method, which means that the maximum likelihood estimator method is the best for estimating the parameters of the modified Weibull extension distribution. Accordingly, we obtain an initial value from the best estimation for starting the process of applying this study in our lives on real data about patients who suffer from acute lymphocytic leukemia disease, and estimate the Survival and hazard functions of this state of patients.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
