Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of Statistics and Informatics Department entitled: Exploring Parameter Estimation Strategies for Stochastic Processes: a Comparative Study of Generalized Goel-Okumoto and Gompertz-Makeham Processes. Master’s thesis by  Najat Ahmed Taha supervised by  Professor Dr. Muthanna Subhi Sulaiman This thesis includes a study and estimation of the parameters of stochastic processes using a set of traditional and intelligent statistical methods. The study presented the basic concepts of stochastic processes and their parameters, then demonstrated the working mechanisms of various traditional and intelligent estimation methods, comparing their performance in estimating the [Read More]