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...

Full description

Bibliographic Details
Main Author: Melinda Tokai
Format: Article
Language:English
Published: Romanian National Institute of Statistics 2016-06-01
Series:Revista Română de Statistică
Subjects:
Online Access:http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A05.pdf
id doaj-561303fb3acb4fecb56f0ee830e36800
record_format Article
spelling 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
_version_ 1725755596394725376