Comparing Some Estimators of the Parameter of Basic Gompertz distribution

Authors

  • Huda A. Rasheed Mustansiriyah University, Collage of Science, Department of Mathematics
  • Wafaa S. Hasanain Mustansiriyah University, Collage of Science, Department of Mathematics
  • Nadia J. Al-Obedy's Mustansiriyah University, Collage of Science, Department of Mathematics

Keywords:

Gompertz distribution, Maximum likelihood estimator, Bayes estimator, Generalized weighted loss function

Abstract

In this paper, some estimators for the unknown shape parameter of Basic Gompertz distribution have been obtained, such as Maximum likelihood estimator and Bayesian estimators under Generalized weighted loss function, using Gamma prior. All these estimators have been compared empirically using Mont-Carlo simulation by employing the mean squared errors (MSE's). Finally, the discussion is provided to illustrate the results that summarized in tables.

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Published

2022-03-17

How to Cite

Rasheed, H., Hasanain, W., & Al-Obedy’s, N. (2022). Comparing Some Estimators of the Parameter of Basic Gompertz distribution. Journal of Iraqi AL-Khwarizmi, 2(special), 178–187. Retrieved from https://iraqma.net/journal/index.php/JIKhs/article/view/46

Issue

Vol. 2 No. special (2018): special

Section

Articles