A COMPARISON OF ESTIMATION METHODS FOR ONE PARAMETER INVERSE GOMPERTZ DISTRIBUTION

In this paper, we compare the methods of estimation for one parameter lifetime distribution, which is a special case of inverse Gompertz distribution. We discuss five different estimation methods such as maximum likelihood method, least-squares method, weighted least-squares method, the method of An...

Full description

Saved in:
Bibliographic Details
Published inJournal of the sciences and arts Vol. 21; no. 3; pp. 659 - 668
Main Authors TANIŞ, CANER, KARAKAYA, KADİR
Format Journal Article
LanguageEnglish
Published Targoviste Valahia State University under the authority of The National University Research Council 30.09.2021
Subjects
Algorithms
Bias
Least squares method
Maximum likelihood estimation
Maximum likelihood method
Monte Carlo simulation
Parameter estimation
Random variables
Online AccessGet full text

Cover

More Information
Summary:In this paper, we compare the methods of estimation for one parameter lifetime distribution, which is a special case of inverse Gompertz distribution. We discuss five different estimation methods such as maximum likelihood method, least-squares method, weighted least-squares method, the method of Anderson-Darling, and the method of Crámer–von Mises. It is evaluated the performances of these estimators via Monte Carlo simulations according to the bias and mean-squared error. Furthermore, two real data applications are performed.
ISSN:1844-9581
2068-3049
DOI:10.46939/J.Sci.Arts-21.3-a06