Affordable Access

Asymptotic theory of least squares estimator in a nonregular nonlinear regression model

Authors

Abstract

The asymptotic properties of the least squares estimator are derived for a nonregular nonlinear model via the study of weak convergence of the least squares process. This approach was adapted earlier by the author in the smooth case. The model discussed here is not amenable to analysis via the normal equations and Taylor expansions used by earlier authors.

There are no comments yet on this publication. Be the first to share your thoughts.