Abstract

This paper concerned with the parameters estimation of modified Weibull distribution (MWD) depending on complete data. The least squares (L.S.) and maximum likelihood (M.L.) methods used for parameters estimation. The results applied on simulated samples with different sizes and different values for scale and shape parameters. The mean square error (MSE) criterion is used for the comparison between estimators in different cases. It is concluded that the sample size has a negative effect on the values of (MSE). This result gave an indicator to the researcher there is no need to use larger samples of sizes than or equal to (50). This indication built on the fact that the improvement in (MSE) is very small which can be ignored. On the other hand the increasing values on a scale parameter have a positive effect on (MSE).

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.