The weak convergence of least squares random fields and its application
The author consider the usual nonlinear regression model. The main part of the paper concerns the weak convergence of the least squares random field associated with the sequence of least squares criteria for increasing sample size. Using results from earlier papers the asymptotic normality of least squares estimators of the k-dimensional parameter follows.
scientific article; zbMATH DE number 3992717