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Journal Dynamics of Complex Systems - XXI century №2 for 2014 г.
Article in number:
Forecasting of tourist streams dynamics on the basis of adaptive models
Keywords: forecasting time series adaptive trend-seasonal model tourist streams smoothing constants
Authors:
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
Abstract:
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.
Pages: 18-22
References

  1. Arzhenovskiy S.V. Metody sotsial'no-ekonomicheskogo prognozirovaniya: Ucheb. posobie. M. - Rostov-n/D: Nauka-Spektr. 2009. 236 s.
  2. Blagun I.S., Keyvan Ye.I. Prognozirovanie sprosa na turisticheskie uslugi // Biznes inform. 2012. № 8. S. 7-11.
  3. Kiseleva I.A., Tramova A.M. Modelirovanie prognozirovaniya sprosa na rynke turisticheskikh uslug [Elektronnyy resurs] // Internet-zhurnal «Naukovedenie». 2013. Vyp. 6. http://naukovedenie.ru/PDF/67EVN613.pdf.
  4. Levizov A.S. Obzor sushchestvuyushchikh podkhodov k prognozirovaniyu v sfere turizma // Turizm i regional'noe razvitie. Smolensk: Universum. 2008. Vyp. 5. S. 66-72.
  5. Saakyan M.A. Modelirovanie sezonnykh kolebaniy v turizme i prognozirovanie budushchikh tendentsiy // Problemy sovremennoy ekonomiki. 2010. № 1-3. S. 328-333.
  6. Filipova V.N., Kaydakova K.V., Tarasova D.S., Preobrazhenskiy A.P. Voprosy prognozirovaniya v turisticheskom biznese // Modelirovanie, optimizatsiya i informatsionnye tekhnologii. 2013. № 1. S. 17.