Document Type
Original Study
Abstract
A comprehensive comparison was undertaken between two numerical methods, namely bisection and secant methods, to generate a random variable data for distribution. two methods were suggested to acquire the initial guesses for secant and interval for the bisection method. The results of 100 cases for the choices of the parameters are shown and a comparison was made according to the number of iterations between the methods was conducted.
Keywords
Monte Carlo Simulation, Numerical Methods, Root finding, Distribution Function.
Recommended Citation
Abdulabbas, Hayder
(2024)
"Numerical Methods for Statistical Data Generation,"
Al-Qadisiyah Journal of Pure Science: Vol. 29
:
No.
1
, Article 24.
Available at:
https://doi.org/10.29350/2411-3514.1262
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Biology Commons, Chemistry Commons, Computer Sciences Commons, Environmental Sciences Commons, Geology Commons, Mathematics Commons, Nanotechnology Commons
