The exponential smoothing in the forecast of non-stational series.

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Mercedes del Carmen Franco Rodríguez
Efraín Velasteguí López


Tourism is one of the most dynamic sectors of the Cuban economy and one of its main sources of income. As of May 2019, the arrival of visitors to Cuba has begun to slow down as a result of the resurgence of the blockade. The immediate effects of the enactment of Title III of the Helms Burton Act have caused a slowdown in the growth in the number of visitors and income in recent months. In statistical terms, these effects translate into a change of trend in the series of visitors that are also characterized by their marked seasonality. The study addresses econometric techniques for the seasonally adjusted series and the search for short-term forecasts that guarantee the minimum error. Exponential Smoothing is used specifically Holt-Winters Multiplicative Model to project the behavior of the arrival of visitors. The forecasts of the series are an important tool for the decision makers in the sector that face a dynamic and highly uncertain environment.


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How to Cite
Franco Rodríguez, M. del C., & Velasteguí López, E. (2020). The exponential smoothing in the forecast of non-stational series. Ciencia Digital, 4(1), 97-110.
Author Biography

Mercedes del Carmen Franco Rodríguez, University of Havana

Doctora en Ciencias Económicas. Profesora Titular de la Facultad de Turismo de la Universidad de la Habana


Aguilar. R, Garcia. A, Vidal. P (2009). Elementos de Econometría. Aplicaciones para Cuba.
Anderson, T. W. (1971). The statistical analysis of time series. Hohn Wiley & Sons. New York.
Anuario Estadístico de Cuba 2017 (2018). Oficina Nacional de Estadística e Información.
Anuario Estadístico de Cuba 2018 (2019). Oficina Nacional de Estadística e Información.
Box, G.E.P; Jenkis, G.M; Reinsel, G.C. (1994). Time series analysis: Forecasting and control. (Third Edition) Prentice Hall.
Brown, R. (1963). Smoothing, forecasting and prediction of discrete time series. Prentice-Hall. New Jersey.
Caballero, P; Rosales, S; Alfonso, G (2017). Economía Cubana: Desafíos de su desarrollo. Instituto Nacional de Investigaciones Económicas (INIE).
Gras, J. A. (Ed.). (2001). Diseños de series temporales: técnicas de análisis (Vol. 46). Edicions Universitat Barcelona.
Mauricio, J. A. (2007). Análisis de series temporales. Universidad Complutence de Madrid.
Peña, D. (1989). Estadística (Modelos y Métodos 2): Modelos Lineales y Series Temporales (Segunda Edición), Alianza Editorial.
Pérez, C. (2006). Problemas Resueltos de Econometría. Universidad Complutense de Madrid, Thomson.
Wooldridge, J.M (2006). Introducción a la Econometría. Un enfoque moderno, (2nd edition), Thomson.