Comparison Of Some Estimation Methods For The Estimators Of Marshall Olkin Distribution With Simulation
Year: 2024
Type: article
Abstract: The research comprised multiple simulated tests to determine the relationship between (sample size, distribution parameter value, estimation method, and pollution indivuduales). The experimental findings indicate that the estimator is influenced by sample size, the value of distribution parameter, estimation method, and pollution indivuduales. The results of the mean square error analysis indicate that (robust estimation method) produces the best results with the lowest mean square error, and the best estimation method was (191) of (243) simulation experiments. Additional statistical distributions with additional factors can be performed to demonstrate additional results.
Source: Bilangan
Authors: Najlaa Ali Dhumad, Abbas Lafta Kneehr
Institution: University of Wasit
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4403257499