" 

 : Regression dilution and disattenuation are just two very narrow topics referring to the old-school methods of correction for measurement error in a simple linear regression. These methods are probably still used in practice, at least judging from the fact that such procedures still exist in modern statistical packages such as Stata. However the generic term “errors-in-variables models” or “measurement error models” refer to the whole variety of methods for dealing with this problem of regression dilution. The difference is the same as between “regression models” and “linear regression”. 

 : As for measurement error itself — this should probably be converted into a disambiguation article. It could refer to either the observation error, or the theory of propagation of uncertainty, or this topic.  //  »  "