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 cycles. The linear regression model with dichotomous (binary) independent variables was integrated with the feed forward neural network. The r...
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| Format: | Article |
| Language: | English |
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Sciendo
2016-12-01
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| Series: | Folia Oeconomica Stetinensia |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/foli-2016-0026 |
| _version_ | 1818670361459294208 |
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| author | Kaczmarczyk Paweł |
| author_facet | Kaczmarczyk Paweł |
| author_sort | Kaczmarczyk Paweł |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T07:06:53Z |
| format | Article |
| id | doaj.art-79edfefa114646c293f2ec57dff2c167 |
| institution | Directory Open Access Journal |
| issn | 1898-0198 |
| language | English |
| last_indexed | 2024-12-17T07:06:53Z |
| publishDate | 2016-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Folia Oeconomica Stetinensia |
| spelling | doaj.art-79edfefa114646c293f2ec57dff2c1672022-12-21T21:59:08ZengSciendoFolia Oeconomica Stetinensia1898-01982016-12-01162728310.1515/foli-2016-0026foli-2016-0026Integrated Model of Demand for Telephone Services in Terms of MicroeconometricsKaczmarczyk Paweł0The State University of Applied Sciences in Płock, Faculty of Economics and Information Technology, Department of Economics, Nowe Trzepowo 55, 09-402 Płock, PolandThe 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.https://doi.org/10.1515/foli-2016-0026decision support systemlinear regressionfeed forward neural networkforecastingc45c53d24 |
| spellingShingle | Kaczmarczyk Paweł Integrated Model of Demand for Telephone Services in Terms of Microeconometrics Folia Oeconomica Stetinensia decision support system linear regression feed forward neural network forecasting c45 c53 d24 |
| title | Integrated Model of Demand for Telephone Services in Terms of Microeconometrics |
| title_full | Integrated Model of Demand for Telephone Services in Terms of Microeconometrics |
| title_fullStr | Integrated Model of Demand for Telephone Services in Terms of Microeconometrics |
| title_full_unstemmed | Integrated Model of Demand for Telephone Services in Terms of Microeconometrics |
| title_short | Integrated Model of Demand for Telephone Services in Terms of Microeconometrics |
| title_sort | integrated model of demand for telephone services in terms of microeconometrics |
| topic | decision support system linear regression feed forward neural network forecasting c45 c53 d24 |
| url | https://doi.org/10.1515/foli-2016-0026 |
| work_keys_str_mv | AT kaczmarczykpaweł integratedmodelofdemandfortelephoneservicesintermsofmicroeconometrics |