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This revised edition offers an in-depth examination of asymptotic theory, specifically tailored for econometricians. It provides a foundational understanding across economic theory, advanced econometrics, and mathematical economics, equipping readers with essential tools for rigorous quantitative analysis and research.

Explore the fundamental principles of Asymptotic Theory as applied to Nonlinear Regression, focusing on the behavior and parameter estimation of non-linear statistical modeling when sample sizes are sufficiently large. This area is critical for understanding the large sample properties of estimators and ensuring robust inference in complex models.