Abstract
In this work, we discuss the estimation parameters and the reliability function for Weibull –Pareto distribution by maximum likelihood method. For that we used two iterative approximation techniques called “Newton-Raphson (NR)” and “Fisher’s Scoring (FS) method” when the available data is in the form of fuzzy numbers. The parameters’ and reliability function’s estimates are numerically contrasted using a Monte-Carlo simulation study in terms of their mean square error (MSE), integrated mean square error (IMSE), and mean absolute proportional error (MAPE) criteria. The FS technique outperforms the NR method in simulations, according to the empirical data.
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.
