Abstract

In the paper estimate of the shape parameter for power function distribution was proposed. For different sample sizes (small, medium, and large). Using different methods, Maximum likelihood method, Moment method, Shrinkage methods, and Least square method. mean square error (MSE) was implemented as an indicator of performance and comparisons of performance have been carried out through data analysis and computer simulation between the estimation methods according to the applied indicator. It was observed from the results that the shrinkage method (constant weight factor (sh2 )) estimates for the shape parameter are the best in performance for each case.

Full Text
Paper version not known

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 call

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.