SMABS 2004 Jena University
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European Association of Methodology

Department of methodology and evaluation research

Jena University


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Contributions: Abstract

Method of the least distances

Alexander 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, 187-193
Mechenov, A.S. (1998) On the confluent approach in regression analysis. Computational Mathematics and Modeling, 9, No. 3, 203-213
Mechenov, A.S. (2000) Least Distance Method for a confluent model with homoskedasticity in the matrix columns and in the right-hand side. Computational Mathematics and Modeling, 11, No. 3, 299-304