On October 8, 2025, Westminster International University in Tashkent (WIUT) hosted a research colloquium featuring Zarrukh Rakhimov, PhD candidate in Econometrics and Statistics, who presented his study titled " Bootstrap Confidence Intervals in Linear Models”.
The research explored the reliability of bootstrap confidence intervals in linear regression analysis, particularly in situations where classical model assumptions—such as normality and homoscedasticity—do not hold. Using a series of Monte Carlo simulations, he compared bootstrap techniques with traditional OLS-based intervals, demonstrating that bootstrap methods often provide more consistent and robust inference under non-ideal data conditions.
The discussion highlighted the practical value of bootstrap approaches for researchers working with small samples or irregular data patterns. After several discussions, his research was approved to move to the next stage of development.
After several discussions, his dissertation was recommended to proceed to the next stage of defense/VIVA according to Supreme Attestation committee requirements.
