The approximate forecast of winter temperatures in Crimean mountains with accounting the suboptimal set of factors
DOI:
https://doi.org/10.15587/2313-8416.2014.28595Keywords:
forecasting, winter season average temperatures, Ai-Petri, multiple-regression modelAbstract
It is proposed the technique of factor search, the use of which as arguments of the multiple-regression model of average temperature changes of the surface layer of atmosphere in winter season in Crimean Mountains provides the approximate forecast of these characteristics with the highest accuracy in advance of 1–4 years at condition that the statistical relationships between them in the future will remain the same. The forecast on period to 2020 is carried out.
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