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Forecasting of tourist streams dynamics on the basis of adaptive models

Keywords:

A. S. Levizov – Ph.D.(Econom.), Associate Professor, Vladimir State University named after Alexander and Nikolay Sloletovs. E-mail: levizov@rambler.ru I. F. Kurbyko – Ph.D.(Eng.), Professor, Vladimir State University named after Alexander and Nikolay Sloletovs. E-mail: levizov@rambler.ru


An approach to forecasting of tourist streams with the use of the adaptive technique, which allows to consider different information value of the levels of time series and a seasonality factor, is proposed and realized.
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