#errors-in-variables_models
Errors-in-variables models
Regression models accounting for possible errors in independent variables
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.
Tue 3rd
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