JOURNAL ARTICLE

Using ARIMA and Random Forest Models for Climatic Datasets Forecasting

Oday AljuboreyOsamah Shukur

Year: 2022 Journal:   IRAQI JOURNAL OF STATISTICAL SCIENCES Vol: 19 (2)Pages: 42-55
Keywords:
Autoregressive integrated moving average Random forest Geography Econometrics Meteorology Computer science Environmental science Time series Artificial intelligence Machine learning Mathematics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.20
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Using ARIMA and Random Forest Models for Climatic Datasets Forecasting

Oday AljuboreyOsamah Shukur

Journal:   IRAQI JOURNAL OF STATISTICAL SCIENCES Year: 2022 Vol: 19 (2)Pages: 42-55
JOURNAL ARTICLE

Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models

Manish KumarM. Thenmozhi

Journal:   International Journal of Banking Accounting and Finance Year: 2014 Vol: 5 (3)Pages: 284-284
JOURNAL ARTICLE

Vaccine Supply Optimization and Forecasting using Random Forest and ARIMA Models

Shiv Charan BanerjeeShobhan BanerjeePratik Rai

Journal:   2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Year: 2022 Pages: 1-5
JOURNAL ARTICLE

Stock Forecasting Based on Random Forest and ARIMA Models

Tianji Cai

Journal:   Theoretical and Natural Science Year: 2025 Vol: 101 (1)Pages: 117-127
© 2026 ScienceGate Book Chapters — All rights reserved.