Modelo pronóstico para la producción de caña de azúcar en la Empresa Agroindustrial Laredo S.A.A periodo enero 2012 – noviembre 2019

Descripción del Articulo

This research is descriptive, the main objective being to determine the model that best _x000D_ predicts the monthly production of sugarcane in the Empress Agro-industrial Laredo _x000D_ S.A.A. in the period January 2012 - November 2019, a non-probability sampling was _x000D_ performed. A sample of...

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Detalles Bibliográficos
Autor: Valverde Nolasco, Lehder David
Formato: tesis de grado
Fecha de Publicación:2021
Institución:Universidad Nacional de Trujillo
Repositorio:UNITRU-Tesis
Lenguaje:español
OAI Identifier:oai:dspace.unitru.edu.pe:20.500.14414/16397
Enlace del recurso:https://hdl.handle.net/20.500.14414/16397
Nivel de acceso:acceso abierto
Materia:Modelo ARIMA
Serie de tiempo
Box-Jenkins
Producción de caña de azúcar
Descripción
Sumario:This research is descriptive, the main objective being to determine the model that best _x000D_ predicts the monthly production of sugarcane in the Empress Agro-industrial Laredo _x000D_ S.A.A. in the period January 2012 - November 2019, a non-probability sampling was _x000D_ performed. A sample of 95 records was obtained from the monthly reports of sugarcane _x000D_ production (metric tons) in the period from January 2012 to November 2019. The _x000D_ variable of study was Production of sugar cane (tons / month), a time series model was _x000D_ performed using the Box-Jenkins methodology finding that the most appropriate model _x000D_ was an ARIMA (1, 1, 12), the AR coefficients (- 0.229527) and MA (0.726968) which _x000D_ were highly significant with P values of 0.001 and 0.000 respectively. It is concluded that _x000D_ the model for the Production of sugar cane of the Agro-industrial Company Laredo _x000D_ S.S.A. Period January 2012 - November 2019
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