Time series prediction model for the tourism demand of the Cubanacán Hotel Chain

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Reinier Fernández López
Ledy Raúl Díaz González
Juan Carlos Alfonso Alemán
Olga Barrio Padrón

Abstract

The tourist demand has a vital influence on the planning and projection of the decision makers in this activity. In this sense, prognosising the tourist demand, thus integrating the productive chains to the rest of the socio-economic activities of the production and service processes, becomes an unavoidable tool. The objective of this work is to elaborate a prognosis model for the tourist demand through the use of techniques of temporary series, which allows predicting the behavior of tourism, sustained in the Box-Jenkins methodology and which supports the process of decision making in Cubanacán Hotel Chain of Pinar del Río, Cuba. It was possible to formulate a rigorous model with the use of statistical-mathematical methods as guiding axes of the research; also, it was modeled the tourist demand until December 2019.

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How to Cite
Fernández López, R., Díaz González, L. R., Alfonso Alemán, J. C., & Barrio Padrón, O. (2020). Time series prediction model for the tourism demand of the Cubanacán Hotel Chain. Cooperativismo Y Desarrollo, 8(3), 538–551. Retrieved from https://coodes.upr.edu.cu/index.php/coodes/article/view/334
Section
Original articles
Author Biographies

Reinier Fernández López, Universidad de Pinar del Río "Hermanos Saíz Montes de Oca"

Facultad de Ciencias Técnicas. Departamento de Matemática

Ledy Raúl Díaz González, Universidad de Pinar del Río "Hermanos Saíz Montes de Oca"

Facultad de Ciencias Técnicas. Departamento de Matemática

Juan Carlos Alfonso Alemán, Fondo Cubano de Bienes Culturales de Pinar del Río

Especialista en Aseguramiento Técnico del Fondo Cubano de Bienes Culturales de Pinar del Río

Olga Barrio Padrón, Delegación Provincial del Ministerio de Turismo de Pinar del Río

Directora Económica del Ministerio de Turismo de Pinar del Río

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