The paper is concerned with parametric models for populations of curves; i. e. models of the form $y_{i}(x)=f(\boldsymbol{\theta}_{\mathbf{\mathit{i}}};x)$ + error, i ...

Elaborating on the work of Ibragimov and Has'minskii (1981) we prove a law of large deviations (LLD) for M-estimators, i.e., those estimators which maximize a functional, continuous in the parameter, ...