An Overview of Linear Structural Models in Errors in Variables Regression

This paper aims to overview the numerous approaches that have been developed to estimate the parameters of the linear structural model. The linear structural model is an example of an errors in variables model, or measurement error model that has wide practical use. This paper brings together key co...

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Bibliographic Details
Published inRevstat Vol. 8; no. 1
Main Author Jonathan Gillard
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatística | Statistics Portugal 01.06.2010
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Summary:This paper aims to overview the numerous approaches that have been developed to estimate the parameters of the linear structural model. The linear structural model is an example of an errors in variables model, or measurement error model that has wide practical use. This paper brings together key concepts from a scattered literature to give an accessible account of existing work on this particular errors in variables model.
ISSN:1645-6726
2183-0371
DOI:10.57805/revstat.v8i1.90