Integrated Model of Demand for Telephone Services in Terms of Microeconometrics Cover Image

Integrated Model of Demand for Telephone Services in Terms of Microeconometrics
Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

Author(s): Paweł Kaczmarczyk
Subject(s): Economy, Business Economy / Management, Micro-Economics
Published by: Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Keywords: Decision Support System; linear regression; feed forward neural network; forecasting

Summary/Abstract: 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.

  • Issue Year: 16/2016
  • Issue No: 2
  • Page Range: 72-83
  • Page Count: 12
  • Language: English