Master's Thesis at the University of Basra Explores Estimating the Reliability Function of a Stress-Strength System Using Robust Methods

Master's Thesis at the University of Basra Explores Estimating the Reliability Function of a Stress-Strength System Using Robust Methods

A master's thesis at the College of Administration and Economics, University of Basra, explored the use of robust methods to estimate the reliability function of a Weibull-Fréchet stress-strength sequence system.

The thesis, submitted by student Zahraa Nasser Sari, aimed to study a stress-strength model based on a cascade system, employing the Weibull strength distribution and the Fréchet stress distribution in the presence of outliers and extreme values ​​in the data. It also aimed to demonstrate the impact of these outliers on the model's estimators, as well as to compare traditional estimation methods with robust methods for estimating system parameters and evaluating its efficiency.

The thesis included applied data from the Basra Oncology Center related to a linear accelerator, where the proposed models were applied to real data from the device.

The thesis concluded that robust methods contribute to improving the accuracy of the estimation and providing more realistic results for system reliability.