Talk:Errors-in-variables model

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Page moved from the “Errors-in-variables model”.

References

There is currently the {{refimprove}} tag on the page. Could somebody elaborate — which exactly statements seems controversial and require additional referencing, or maybe whether the quality of existing references is unsatisfactory? ... stpasha » talk » 02:31, 12 September 2009 (UTC)[reply]

Measurement error, attenuation

Somehow Measurement error should be related to this subject and thus to regression dilution and disattenuation, preferably by something more than a "See also" or three.

The proliferation of articles on regression dilution, disattenuation, and correction for attenuation has been mentioned to the statistics project WP:WPSTAT. --P64 (talk) 17:16, 29 March 2010 (UTC)[reply]

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 observational error, or the theory of propagation of uncertainty, or this topic. // stpasha » 07:17, 30 March 2010 (UTC)[reply]

Motivational example

This should be renamed Example or Illustration or whatever. It still needs concise explanation of variance star and what happened to variance epsilon (with TeX). --P64 (talk) 15:15, 30 March 2010 (UTC)[reply]