Contributions: Abstract
Method of the least distancesAlexander Mechenov  Moscow State University  Russia 
As the method of least squares is inapplicable for handling outcomes of passive researches in such areas as econometrics, biometrics and many others, the author algebraically proves a method of the least distances for the handling of such data.
References  Mechenov, A.S. (1997) Maximum likelihood approach to parameter estimation for linear functional relationships. Computational Mathematics and Modeling, 8, No. 2, 187193
 Mechenov, A.S. (1998) On the confluent approach in regression analysis. Computational Mathematics and Modeling, 9, No. 3, 203213
 Mechenov, A.S. (2000) Least Distance Method for a confluent model with homoskedasticity in the matrix columns and in the righthand side. Computational Mathematics and Modeling, 11, No. 3, 299304
