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Prediction of medical waste generation using SVR, GM (1,1) and ARIMA models: a case study for megacity Istanbul
Author(s) -
Zeynep Ceylan,
Serol Bulkan,
Sermin Elevli
Publication year - 2020
Publication title -
journal of environmental health science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 45
ISSN - 2052-336X
DOI - 10.1007/s40201-020-00495-8
Subject(s) - autoregressive integrated moving average , mean absolute percentage error , mean squared error , statistics , linear regression , megacity , mathematics , regression analysis , time series , economics , economy
Estimation of the amount of waste to be generated in the coming years is critical for the evaluation of existing waste treatment service capacities. This study was conducted to evaluate the performance of various mathematical modeling methods to forecast medical waste generation of Istanbul, the largest city in Turkey.

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