The weak convergence of least squares random fields and its application
type: Item
instance of: scholarly article
title: The weak convergence of least squares random fields and its application
zbMATH Open document ID: 0613.62108
DOI: 10.1007/BF02482534
published in: Annals of the Institute of Statistical Mathematics
publication date: 1986-01-01T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 60F05
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 60G60
Mathematics Subject Classification ID: 62J02
zbMATH DE Number: 3992717
zbMATH Keywords: weak convergence
zbMATH Keywords: least squares random field
zbMATH Keywords: least squares criteria
zbMATH Keywords: asymptotic normality
author: B. L. S. Prakasa Rao
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 3992717