Comparing Some Methods of Estimating the Parameters and Survival Function of a Log-logistic Distribution with a Practical Application

Authors

  • Samah Sabah Hassan al-aameri
  • Entsar Arebe Fadam AL.Doori

DOI:

https://doi.org/10.33095/jeas.v28i131.2243

Keywords:

Survival function, log-logistic distribution, Maximum likelihood method, least squares method, weighted least method

Abstract

The Log-Logistic distribution is one of the important statistical distributions as it can be applied in many fields and biological experiments and other experiments, and its importance comes from the importance of determining the survival function of those experiments. The research will be summarized in making a comparison between the method of maximum likelihood and the method of least squares and the method of weighted least squares to estimate the parameters and survival function of the log-logistic distribution using the comparison criteria MSE, MAPE, IMSE, and this research was applied to real data for breast cancer patients. The results showed that the method of Maximum likelihood best in the case of estimating the parameters of the distribution and survival function

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Published

2022-03-30

How to Cite

al-aameri, S. S. H. . and AL.Doori, E. A. F. . . . . . (2022) “Comparing Some Methods of Estimating the Parameters and Survival Function of a Log-logistic Distribution with a Practical Application”, Journal of Economics and Administrative Sciences, 28(131), pp. 180–192. doi: 10.33095/jeas.v28i131.2243.

Issue

Section

Statistical Researches