A simple proof of the existence of the best estimator in a quasilinear regression model
type: Item
instance of: scholarly article
title: A simple proof of the existence of the best estimator in a quasilinear regression model
zbMATH Open document ID: 1298.90108
author: Dragan Jukić
published in: Journal of Optimization Theory and Applications
publication date: 2014-11-03T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 6363576
zbMATH Keywords: quasilinear regression
zbMATH Keywords: \(l_p\)-norm estimator
zbMATH Keywords: existence problem
MaRDI profile type: Publication
full work available at URL: s10957-013-0434-1
OpenAlex ID: W1977430345
cites work: Q3994704
cites work: Q4040937
cites work: Q3996174
cites work: Q4868585
cites work: Nonlinear estimation
cites work: Q3996907
cites work: Q3021665
cites work: Q4692754
cites work: Criteria for unconstrained global optimization
cites work: Criteria for global minimum of sum of squares in nonlinear regression
cites work: Least‐squares problems for Michaelis–Menten kinetics
cites work: TheLp-norm estimation of the parameters for the Jelinski–Moranda model in software reliability
cites work: On the existence of the best discrete approximation in \(l_p\) norm by reciprocals of real polynomials
cites work: Least-squares fitting Gompertz curve
cites work: A necessary and sufficient criteria for the existence of the least squares estimate for a 3-parametric exponential function.
cites work: On nonlinear weighted total least squares parameter estimation problem for the three-parameter Weibull density
cites work: On the existence of best Mitscherlich, Verhulst, and West growth curves for generalized least-squares regression
cites work: Quasilinearized Regression
DOI: 10.1007/S10957-013-0434-1
description: scientific article; zbMATH DE number 6363576