@TechReport{	  it:2021-006,
  author	= {Torsten S{\"o}derstr{\"o}m and Umberto Soverini},
  title		= {When are Errors-in-Variables Aspects Particularly
		  Important to Consider in System Identification?},
  institution	= {Department of Information Technology, Uppsala University},
  department	= {Division of Systems and Control},
  year		= {2021},
  number	= {2021-006},
  month		= sep,
  abstract	= {When recorded signals are corrupted by noise on both input
		  and output sides, all standard identification methods give
		  biased parameter estimates, due to the presence of input
		  noise. This report discusses in what situations such a bias
		  is large and, consequently, when the errors-in-variables
		  identification methods are to be preferred. }
}