Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

• Autorzy: Paweł Kaczmarczyk
• Języki publikacji: EN

Abstrakty

EN

The paper presents the results of the testing effectiveness of the integrated model in the short-term forecasting of demand for telephone services in 24-hour cycles. The linear regression model with dichotomous (binary) independent variables was integrated with the feed forward neural network. The regression model was used as a filter of modelled variability of the demand. The neural network was used to model residual variability. The research shows that the integrated model has a higher possibility of approximation and prediction in comparison to the non-integrated linear regression model. The research study was based on data provided by the selected telecommunications network operator. The range of empirical material consisted of hourly counted seconds of outgoing calls and generated by network subscribers in various analytical sections.(original abstract)

Słowa kluczowe

EN

Decision Support Systems (DSS); Linear regression; Neural networks; Forecasting; Microeconometrics

PL

Systemy wspomagania decyzji; Regresja liniowa; Sieci neuronowe; Prognozowanie; Mikroekonometria

• Czasopismo: Folia Oeconomica Stetinensia
• Rocznik: 2016
• Numer: vol. 16, iss. 2
• Strony: 72--83

Twórcy

autor

Paweł Kaczmarczyk

• The State University of Applied Sciences in Płock, Poland

Bibliografia

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Identyfikatory

DOI

10.1515/foli-2016-0026