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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.