<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

The State University of Applied Sciences in Płock, Faculty of Economics and Information Technology, Department of Economics, Nowe Trzepowo 55, 09-402 Płock,

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Integrated Model of Demand for Telephone Services in Terms of Microeconometrics"}

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...

Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

Online veröffentlicht: 04. Apr. 2017

Seitenbereich: 72 - 83

Eingereicht: 10. Dez. 2015

Akzeptiert: 16. Nov. 2016

DOI: https://doi.org/10.1515/foli-2016-0026

Schlüsselwörter
Decision Support System, linear regression, feed forward neural network, forecasting

© 2016 University of Szczecin

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

Online veröffentlicht: 04. Apr. 2017

Seitenbereich: 72 - 83

Eingereicht: 10. Dez. 2015

Akzeptiert: 16. Nov. 2016

DOI: https://doi.org/10.1515/foli-2016-0026

SchlüsselwörterDecision Support System, linear regression, feed forward neural network, forecasting

© 2016 University of Szczecin

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Decision Support System, linear regression, feed forward neural network, forecasting