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Tagged with errors-in-variables error
2 questions
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If the $\varepsilon$ in $Y = \beta_0 + \beta_1 X + \varepsilon$ does not represent measurement error in $Y$, then what does it represent?
The classical simple linear regressoion model is
$$
Y = \beta_0 + \beta_1 X + \varepsilon. \tag{1}
$$
On page 3 of these slides, the author says if there are measurement errors in the outcome then we ...
- 893
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Linear regression with estimates of error in predictor
I have data with two different kinds of measurements at the same set of $S$ sites. One of these (call it $X$) returns m estimates at each site, which are not necessarily independent of one another. So ...
- 121