@TechReport{	  it:2007-021,
  author	= {Mei Hong and Torsten S{\"o}derstr{\"o}m and Umberto
		  Soverini and Roberto Diversi},
  title		= {Comparison of Three {F}risch Methods for
		  Errors-in-Variables Identification},
  institution	= {Department of Information Technology, Uppsala University},
  department	= {Division of Systems and Control},
  year		= {2007},
  number	= {2007-021},
  month		= aug,
  abstract	= {The errors--in--variables framework concerns static or
		  dynamic systems whose input and output variables are
		  affected by additive noise. Several estimation methods have
		  been proposed for identifying dynamic errors--in--variables
		  models. One of the more promising approaches is the
		  so--called Frisch scheme. This report decribes three
		  different estimation criteria within the Frisch context and
		  compares their estimation accuracy on the basis of the
		  asymptotic covariance matrices of the estimates. Some final
		  numerical examples support the theoretical results and
		  analyze the behaviour of the methods in case of finite
		  number of data.}
}