Errors-in-variables models
id:
errors-in-variables-models-175-13849380
title:
Errors-in-variables models
text:
In statistics, errors-in-variables models or measurement error models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors have been measured exactly, or observed without error; as such, those models account only for errors in the dependent variables, or responses. In the case when some regressors have been measured with errors, estimation based on the standard assumption leads to inconsistent
brand slug:
wiki
category slug:
encyclopedia
description:
Regression models accounting for possible errors in independent variables
original url:
https://en.wikipedia.org/wiki/Errors-in-variables_models
date created:
2009-07-08T03:04:11Z
date modified:
2024-09-03T10:25:54Z
main entity:
{"identifier":"Q5395728","url":"https://www.wikidata.org/entity/Q5395728"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/3/3b/Visualization_of_errors-in-variables_linear_regression.png","width":512,"height":512}
fields total:
13
integrity:
16