Abstract
Recently, many new discrete distributions have been obtained. The uniform-geometric distribution is a newly obtained discrete distribution. In literature, parameter estimation is rare in the case of censored samples for new discrete distributions. In this study, the parameter estimation based on type-I censored sampling for the unknown parameter of the uniform geometric distribution is obtained using the maximum likelihood, methods of proportions, methods of moments, and modified maximum likelihood estimation methods. The performance of estimation methods is compared using the Monte Carlo simulation via biases and mean squared errors. Finally, two real data applications are given.
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 callMore From: Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Disclaimer: 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.
