Estimation of Household Waste in the Republic of Serbia using R software
This paper deals with the problem of estimation of annual amount of waste generated by households in Republic of Serbia. Waste generated by households is a part of municipal waste that also includes waste generated by trade and services activities as well as by tourists. In order to estimate pure ho...
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Romanian National Institute of Statistics
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doaj-561303fb3acb4fecb56f0ee830e368002020-11-24T22:25:56ZengRomanian National Institute of StatisticsRevista Română de Statistică1018-046X1844-76942016-06-01642059069Estimation of Household Waste in the Republic of Serbia using R softwareMelinda Tokai 0Statistical Office of the Republic of SerbiaThis paper deals with the problem of estimation of annual amount of waste generated by households in Republic of Serbia. Waste generated by households is a part of municipal waste that also includes waste generated by trade and services activities as well as by tourists. In order to estimate pure household waste, regression analysis was preformed with reference to Cammarota et al. (2005) ”A proposal for the estimation of household waste”. In order to face this problem, regression models were constructed for municipal waste that are based on non domestic variables which are related to trade and services activities and tourism. The part of the municipal waste that could not be explained by a model based on non domestic variables was ascribed to pure household waste. In order to check validity of results, the model residuals were then related to domestic variables (usual population and the average number of inhabitants per occupied dwelling). The regression models were fitted using R software.http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A05.pdfHousehold wasteregression modelsR software |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melinda Tokai |
spellingShingle |
Melinda Tokai Estimation of Household Waste in the Republic of Serbia using R software Revista Română de Statistică Household waste regression models R software |
author_facet |
Melinda Tokai |
author_sort |
Melinda Tokai |
title |
Estimation of Household Waste in the Republic of Serbia using R software |
title_short |
Estimation of Household Waste in the Republic of Serbia using R software |
title_full |
Estimation of Household Waste in the Republic of Serbia using R software |
title_fullStr |
Estimation of Household Waste in the Republic of Serbia using R software |
title_full_unstemmed |
Estimation of Household Waste in the Republic of Serbia using R software |
title_sort |
estimation of household waste in the republic of serbia using r software |
publisher |
Romanian National Institute of Statistics |
series |
Revista Română de Statistică |
issn |
1018-046X 1844-7694 |
publishDate |
2016-06-01 |
description |
This paper deals with the problem of estimation of annual amount of waste generated by households in Republic of Serbia. Waste generated by households is a part of municipal waste that also includes waste generated by trade and services activities as well as by tourists. In order to estimate pure household waste, regression analysis was preformed with reference to Cammarota et al. (2005) ”A proposal for the estimation of household waste”. In order to face this problem, regression models were constructed for municipal waste that are based on non domestic variables which are related to trade and services activities and tourism. The part of the municipal waste that could not be explained by a model based on non domestic variables was ascribed to pure household waste. In order to check validity of results, the model residuals were then related to domestic variables (usual population and the average number of inhabitants per occupied dwelling). The regression models were fitted using R software. |
topic |
Household waste regression models R software |
url |
http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A05.pdf |
work_keys_str_mv |
AT melindatokai estimationofhouseholdwasteintherepublicofserbiausingrsoftware |
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1725755596394725376 |