Relationships between linear systems theory and covariance structure modeling
type: Item
instance of: scholarly article
title: Relationships between linear systems theory and covariance structure modeling
zbMATH Open document ID: 0587.62200
DOI: 10.1016/0022-2496(86)90039-8
author: B. George
published in: Journal of Mathematical Psychology
publication date: 1986-01-01T00:00:00Z
review text: It is shown that an important subset of linear systems theory (LST) can be represented as a special case of covariance structure modeling (CSM). Overviews of both LST and CSM are presented, along with an explanation and illustration of their relationship. Possible modifications and extensions of LST are described based on the more general framework of CSM. An LST model where all inputs, state variables, and outputs are latent variables is proposed. The potential use of CSM methodology to carry out model fitting, parameter estimation, and hypothesis testing for certain LST models is discussed.
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 93C05
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 93C30
zbMATH DE Number: 3942885
zbMATH Keywords: covariance structure modeling
zbMATH Keywords: model fitting
zbMATH Keywords: parameter estimation
zbMATH Keywords: hypothesis testing
describes a project that uses: LISREL
MaRDI profile type: Publication
full work available at URL: 0022-2496(86)90039-8
OpenAlex ID: W2080620668
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description: scientific article; zbMATH DE number 3942885