Municipal solid waste generation forecast using an ARIMA model: a focus on Abuja City, Nigeria

UA Dodo, EC Ashigwuike… - 2022 IEEE Nigeria 4th …, 2022 - ieeexplore.ieee.org
In this paper, an autoregressive integrated moving average (ARIMA) model was used to
forecast the municipal solid waste generation rates of Nigeria's federal capital city, Abuja …

Investigating the effect of observational data length on ARIMA modeling and forecasting accuracy: a case study of Kortian Stream watershed, Iran

H Sahranavard, M Naseri - Water Supply, 2022 - iwaponline.com
Using autoregressive integrated moving average (ARIMA) for modeling and predicting time
series is worldwide, but how many available recorded observations can be used for …

[PDF][PDF] On Comparative Performances of ARIMA, hybrid ARIMA-ARCH and hybrid ARIMA-GARCH Models in Modeling The Volatility Of Foreign Exchange

SI Adam, YA Mohammed, I Akeyede - GSJ, 2021 - researchgate.net
Foreign exchange markets are important in the field of finance in order to measure the
currency value of a country with respect to another. The foreign exchange rates data are …

Fitting and Forecasting Modified Arima Models to Poison Data

AE Dadar, KE Lasisi… - ATBU Journal of Science …, 2023 - atbuftejoste.com.ng
Abstract Certain models, like Autoregressive Moving Average (ARMA) model are commonly
known in time series. This method takes into account that past information influences the …

[引用][C] A data-driven approach to predict hydrometeorological variability and fluctuations in lake water levels

RI Tan Kesgin, I Demir, E Kesgin, M Abdelkader… - Journal of Water and Land …, 2023