Regression predictive models analysis of municipal waste
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F13%3A39896586" target="_blank" >RIV/00216275:25410/13:39896586 - isvavai.cz</a>
Result on the web
<a href="http://www.naun.org/cms.action?id=5358" target="_blank" >http://www.naun.org/cms.action?id=5358</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Regression predictive models analysis of municipal waste
Original language description
This article deals with solid waste modelling for municipalities in the Pardubice region in the Czech Republic. Predictive models work with real data on municipal waste. Municipalities report the stated data into public management reporting systems. Thisregards "non-sorted" - and "sorted" waste used for recycling. In the first case we talk about mixed (assorted) solid waste, in the second case we talk about plastics and plastic wrappings waste, glass and glass wrapping waste, paper and card board waste. The proposed regression models provide sufficiently high coefficient of determination. Outputs obtained from this analysis may help municipal representatives to define volumes of selected types of waste for the coming period and for the determination of municipal solid waste fee per municipality inhabitant.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Mathematical Models and Methods in Applied Sciences
ISSN
1998-0140
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
111-120
UT code for WoS article
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EID of the result in the Scopus database
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