MODERN MODELING APPROACHES IN STATISTICS AND ECONOMETRICS: APPLICATION TO THE ECONOMY OF UZBEKISTAN

Abstract

The rapid transformation of Uzbekistan’s economy requires modern analytical approaches to evaluate the dynamics of growth, investment efficiency, and sustainable development. This study explores the application of advanced statistical and econometric modeling techniques to the analysis of macroeconomic processes in Uzbekistan. The research employs regression, time-series, and panel data methods to identify key determinants of economic growth and regional disparities. The study contributes to the methodological advancement of applied economics in Uzbekistan by providing a practical framework for integrating data-driven insights into strategic planning and development policies.