Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm
type: Item
instance of: scholarly article
title: Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm
zbMATH Open document ID: 1471.62067
author: Liyong Fu
author: Yuancai Lei
author: Shouzheng Tang
author: Mingliang Wang
published in: Computational Statistics and Data Analysis
publication date: 2018-11-02T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6970931
zbMATH Keywords: \textit{Cunninghamia lanceolata}
zbMATH Keywords: expectation-maximization algorithm
zbMATH Keywords: first order conditional expansion
zbMATH Keywords: Lindstrom and Bates algorithm
zbMATH Keywords: simulated data
zbMATH Keywords: two-level nonlinear mixed effects models
describes a project that uses: S-PLUS
describes a project that uses: SAS
describes a project that uses: MEMSS
describes a project that uses: NLINMIX
MaRDI profile type: Publication
full work available at URL: j.csda.2013.05.026
OpenAlex ID: W2051563091
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DOI: 10.1016/J.CSDA.2013.05.026
description: scientific article; zbMATH DE number 6970931