Application of the ARIMA model on the COVID-2019 epidemic dataset by Domenico Benvenuto, Marta Giovanetti, Lazzaro Vassallo, Silvia Angeletti, Massimo Ciccozzi

“…Keywords: COVID-2019 epidemic, ARIMA model, Forecast, Infection control…”
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ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise by Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko

Subjects: “…ARIMA…”
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Application of ARIMA Model in Financial Time Series in Stocks by Jiajia Cheng, Huiyun Deng, Guang Sun, Peng Guo, Jianjun Zhang

“…From the visual results, the prediction effect is not very good, there are relatively large errors, and the trend of stock closing price is not consistent. ARIMA model is not very good in the application of stock market, which needs to be improved.…”
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Forecasting natural rubber price in Malaysia using Arima by Zahari, Fatin Z., Khalid, Kamil, Roslan, Rozaini, Sufahani, Suliadi, Mohamad, Mahathir, Rusiman, Mohd Saifullah, Ali, Maselan

“…By using the Box-Jenkins method, the best fit model for the time series data is ARIMA (1, 1, 0) which this model satisfy all the criteria needed. …”
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A hybrid arima and neural network for yields prediction by Samsudin, Ruhaidah, Shabri, Ani

Time series modeling using markov and arima models by Muhammad, Mohd. Khairul Idlan

“…Thus, the objective of this study are to propose the streamflow forecasting methods using Markov and ARIMA models and to inspect the accuracy of Markov and ARIMA models in forecasting ability. …”
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Double seasonal ARIMA model for forecasting load demand by Mohamed, Norizan, Ahmad, Maizah Hura, Ismail, Zuhaimy, Suhartono, Suhartono

“…This study investigates the use of a double seasonal ARIMA model for forecasting load demand. For the purpose of this study, a one-year half hourly Malaysia load demand from 1 September 2005 to 31 August 2006 measured in Megawatt (MW) is used. …”
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Hybrid of ARIMA-GARCH modeling in rainfall time series by Yusof, Fadhilah, Lawal Kane, Ibrahim, Yusop, Zulkifli

“…The residuals from preliminary ARIMA models derived from the daily rainfall time series were tested for ARCH behavior. …”
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Hybrid SSA-TSR-ARIMA for water demand forecasting by Suhartono, Suhartono, Isnawati, S., Salehah, N. A., Prastyo, D. D., Kuswanto, H., Lee, M. H.

“…The aim of this research is to propose hybrid methods based on Singular Spectrum Analysis (SSA) decomposition, Time Series Regression (TSR), and Automatic Autoregressive Integrated Moving Average (ARIMA), known as hybrid SSA-TSR-ARIMA, for water demand forecasting. …”
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Hybrid ssa-tsr-arima for water demand forecasting by Muhammad Hisyam Lee @ Lee Wee Yew, Dedy Dwi Prastyo

Application of arima and garch models in forecasting crude oil prices by Lee, Chee Nian, 1985-, Maizah Hura Ahmad, supervisor, Fakulti Sains

Application of ANFIS, ARIMA and hybrid models in water demand forecasting / by Muhammad Safwan Ibrahim, 1989-, Ani Shabri, Fakulti Sains

Modelling and forecasting volatile data by using ARIMA and GARCH models / by Nor Hamizah Miswan, 1990-, Maizah Hura Ahmad, supervisor, Fakulti Sains

The Performance of Hybrid ARIMA-GARCH Modeling in Forecasting Gold Price by Siti Roslindar, Yaziz, Noor Azlinna, Azizan, Roslinazairimah, Zakaria, Maizah Hura, Ahmad

“…The findings suggest that the potential combination of powerful and flexibility of ARIMA and the strength of GARCH models in handling volatility and risk in the data series as well as to overcome the linear limitation in the ARIMA models made the hybridization of ARIMA-GARCH model as a new promising approach in modeling and forecasting gold price.…”
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استخدام نماذج ARIMA للتنبؤ بإنتاج القمح في سورية by Mohmad Akroush, Ali Hmedi

“… هدفت الدراسة إلى تطبيق استخدام منهجية بوكس – جينكيز المتمثلة بنماذج ARIMA  للتنبؤ بإنتاج القمح في سورية,  ومعرفة فيما إذا كان النموذج المقترح  جيد وفعال في التنبؤ. …”
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Toprak Radon (222Rn) Gazı Anomalilerinin ARIMA Analizi by Miraç KAMIŞLIOĞLU, Fatih KÜLAHCI, Seçil NİKSARLIOĞLU

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Forecasting of Red Chilli Prices in Banyumas Regency: The ARIMA Approach by Prasetyo Kunandar, Putri Dindy Darmawati, Kartika Eka Wijayanti Irene, Zulkifli Lutfi

“…The red chilli prices in Banyumas Regency shows an upward trend in a fluctuating during April 2017 to December 2022. ARIMA 1.11 has been estimated as the most suitable model for predicting prices. …”
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Using ARIMA and Random Forest Models for Climatic Datasets Forecasting by Oday Aljuborey, Osamah Shukur

“…The common approach is the integrated autoregressive and moving average model (ARIMA) as traditional univariate time series approach. …”
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Peramalan trafik SMS Area Jabotabek Dengan Metode ARIMA by Lusi Alvina Tofani, Achmad Mauludiyanto

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The Prediction of Seasonal ARIMA By using Exponential Smoothing Methods with Application

“…The reconciliation one of the time series model with ARIMA (P, D, Q) S seasonal to the average humidly in Mosul (1971-2001) have been done in this study. …”
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