Master's Thesis at the University of Basrah Examines Taguchi Loss Estimation
A master's thesis at the College of Administration and Economics, University of Basrah, explored the use of the Bootstrap method to estimate the Taguchi loss function and the signal-to-noise ratio, with application in healthcare services.
The thesis, submitted by student Duaa Thajil Kadhim, aimed to evaluate the efficiency of the Bootstrap method in estimating the loss function and the signal-to-noise ratio. This was achieved by comparing five methods for estimating confidence intervals and testing their accuracy using Monte Carlo simulations, applying them to real-world healthcare data.
The study included selecting the most suitable confidence interval and analyzing the results.
The thesis concluded that the BCa method was superior in estimation accuracy.
It recommended expanding the use of Bootstrap to improve the quality of healthcare data analysis.
Department of Media and Government Communication
