Comparison of Some Methods for Estimating the Parameters of the type – II Generalized Log Logistic Distribution using Simulation
DOI:
https://doi.org/10.62933/nzs8yq69Keywords:
Simulation , Maximum Likelihood Method, Moments Method , The Ordinary Least Squares Method, Type – II Generalized , Log Logistic DistributionAbstract
In this research, the type – II generalized log logistic distribution with three parameters was used, as this distribution is considered a continuous distribution. Three methods were taken to estimate the parameters of this distribution (the maximum likelihood method, the method of moments, and the ordinary least squares method) and to compare them with each other using the simulation method and with different sample sizes (10, 30, 60, 100) and with scale integral mean square error and writing the program in a programming language MATLAB, concluding that the maximum likelihood method is the best.
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Copyright (c) 2025 Ahmed Dheyab Ahmed, Yassin Taha Yassin, Baydaa Ismael Abdulwahhab, Ebtisam Karim Abdullah (Author)
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