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, 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
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