https://www.selleckchem.com/products/coti-2.html
4712), and MAPE (11.7595) valuesand the highestR (0.9888) value showed a superior prediction performance compared to SVR, Grey Modeling (1,1), and LR analysis. The results obtained from the models indicated that the total amount of annual medical waste to be generated will increase from about 26,400 tons in 2017 to 35,600 tons in 2023. ARIMA (0,1,2) model developed in this study can help decision-makers to take better measures and develop policies regarding waste management practices in thefuture. ARIMA (0,1,2) model developed in this st
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