The rate of convergence of the least squares estimator in a non-linear regression model with dependent errors
type: Item
instance of: scholarly article
title: The rate of convergence of the least squares estimator in a non-linear regression model with dependent errors
zbMATH Open document ID: 0529.62053
DOI: 10.1016/0047-259X(84)90036-8
author: B. L. S. Prakasa Rao
published in: Journal of Multivariate Analysis
publication date: 1984-01-01T00:00:00Z
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62M99
zbMATH DE Number: 3841082
zbMATH Keywords: rate of convergence
zbMATH Keywords: least squares estimator
zbMATH Keywords: dependent errors
zbMATH Keywords: strong mixing process
zbMATH Keywords: strong consistency
zbMATH Keywords: phi mixing
MaRDI profile type: Publication
cites work: Convergence of Distributions Generated by Stationary Stochastic Processes
cites work: Q4042404
cites work: Non-linear time series regression
cites work: Q5624460
cites work: An Asymptotic Expansion for the Distribution of the Least Squares Estimator of the Non-Linear Regression Parameter
cites work: Asymptotic Properties of Non-Linear Least Squares Estimators
cites work: A note on strong consistency of least squares estimators in regression models with martingale difference errors
cites work: Q4048357
cites work: Q3862204
cites work: Moment inequalities for mixing sequences
full work available at URL: 0047-259x(84)90036-8
OpenAlex ID: W2063379987
description: scientific article; zbMATH DE number 3841082