@TechReport{	  it:2013-017,
  author	= {T. S{\"o}derstr{\"o}m and J. Yuz},
  title		= {Analysing Model Validation Methods for Errors-in-Variables
		  Estimation},
  institution	= {Department of Information Technology, Uppsala University},
  department	= {Division of Systems and Control},
  year		= {2013},
  number	= {2013-017},
  month		= sep,
  abstract	= {When identifying a dynamic system the model has to be
		  validated as well. For an errors-in-variables situation
		  where both input and output measurements are noise
		  corrupted, this is a nontrivial task, seldom treated in the
		  literature. Some different approaches for model validation
		  are introduced and evaluated by theoretical analysis as
		  well as application to simulated data.}
}