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Statistical methods for monitoring travel agencies in the settlement system

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Abstract

Travel agencies are monitored based on the autoregression model, which takes into account both the external and internal factors for each agency. The dynamics of the reported indicators is used to assess the risk of an agency to go bankrupt. The numerical example illustrates the approach described.

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References

  1. Makharev, E.I., Russ, A.A., and Surinov, R.T., Osnovy sistemy vzaimoraschetov na vozdushnom transporte. Uchebnoe posobie (Basics of the System of Settlements in Air Transport. Textbook), Riga: Transporta un Sakaru Instituts, 2011.

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  2. Box, G.E.P. and Jenkins, G.M., Time Series Analysis, San Francisco, Cambridge, London, Amsterdam: HOLDEN-DAY, 1970.

    MATH  Google Scholar 

  3. Srivastava, M.S., Methods of Multivariate Statistics, New York: J. Wiley & Sons, 2002.

    MATH  Google Scholar 

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Correspondence to T. I. Aliev.

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Original Russian Text © T.I. Aliev, M.I. Rebezova, A.A. Russ, 2015, published in Avtomatika i Vychislitel’naya Tekhnika, 2015, No. 6, pp. 5–13.

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Aliev, T.I., Rebezova, M.I. & Russ, A.A. Statistical methods for monitoring travel agencies in the settlement system. Aut. Control Comp. Sci. 49, 321–327 (2015). https://doi.org/10.3103/S0146411615060024

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  • DOI: https://doi.org/10.3103/S0146411615060024

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