Author： Babak O. V. Gasanov A. S. Leibovich M. M. Stetsyuk P. I.
Publisher： Springer Publishing Company
ISSN： 1060-0396
Source： Cybernetics and Systems Analysis, Vol.40, Iss.3, 2004-05, pp. : 400-406
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Abstract
The problems of finding the best one-dimensional and multidimensional linear models are considered for a short selection of measurement results with a rather small number of erroneous measurements. Using an example, it is shown that the least moduli method allows one to find models more adequate to the process than the least squares method.
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