Choosing the best method for estimating the survival function of inverse Gompertz distribution by using Integral mean squares error (IMSE)
DOI:
https://doi.org/10.33095/jeas.v28i133.2405Keywords:
Inverse Gompertz Distribution, Maximum Likelihood Method, Least Squares Method, Method of Percentiles estimators, simulation, IMSEAbstract
In this research, we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution, and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation, as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles submitted to the journal should not have been published before in their current or substantially similar form or be under consideration for publication with another journal. Please see JEAS originality guidelines for details. Use this in conjunction with the points below about references, before submission i.e. always attribute clearly using either indented text or quote marks as well as making use of the preferred Harvard style of formatting. Authors submitting articles for publication warrant that the work is not an infringement of any existing copyright and will indemnify the publisher against any breach of such warranty. For ease of dissemination and to ensure proper policing of use, papers and contributions become the legal copyright of the publisher unless otherwise agreed.
The editor may make use of Turnitin software for checking the originality of submissions received.