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Journal of Applied Mathematics and Physics
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Journal of Applied Mathematics and Physics
ISSN Print:
2327-4352
ISSN Online:
2327-4379
www.scirp.org/journal/jamp
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jamp@scirp.org
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"
The Use of Some of the Information Criterion in Determining the Best Model for Forecasting of Thalassemia Cases Depending on Iraqi Patient Data Using ARIMA Model
"
written by
Rana Sabeeh Abbood Alsudani, Jicheng Liu
,
published by
Journal of Applied Mathematics and Physics
,
Vol.5 No.3, 2017
has been cited by the following article(s):
Google Scholar
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[3]
Prediçao de Cargas de Trabalho de Nos de Computaçao em Nuvem Usando Modelos ARIMA e Redes Neurais Recorrentes Tipo LSTM
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,
2021
[4]
BIFM: Big-data Driven Intelligent Forecasting Model for COVID-19
2021
[5]
ANFIS-ARIMA modelling for scheming re-aeration of hydrologically altered rivers
2021
[6]
ARIMA modelling & forecasting of COVID-19 in top five affected countries
2020
[7]
Simulation Evaluation for Efficient Inventory Management Based on Demand Forecast
Computational Science and Its Applications – ICCSA 2018
,
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[8]
Mining Complete Blood Count Reports For Disease Discovery
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[9]
Effectiveness Evaluation of Demand Forecasting Based Inventory Management Model for SME Manufacturing Factory
2018
[10]
Sales prediction in the fast-food sector using time series data
[1]
Recent Advances in Sustainable Environment
Lecture Notes in Civil Engineering
,
2023
DOI:
10.1007/978-981-19-5077-3_5
[2]
Groundwater and Water Quality
Water Science and Technology Library
,
2022
DOI:
10.1007/978-3-031-09551-1_4
[3]
ANFIS-ARIMA modelling for scheming re-aeration of hydrologically altered rivers
Journal of Hydrology
,
2021
DOI:
10.1016/j.jhydrol.2021.126635
[4]
BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19
IEEE Access
,
2021
DOI:
10.1109/ACCESS.2021.3094658
[5]
ANFIS-ARIMA modelling for scheming re-aeration of hydrologically altered rivers
Journal of Hydrology
,
2021
DOI:
10.1016/j.jhydrol.2021.126635
[6]
Computational Science and Its Applications – ICCSA 2018
Lecture Notes in Computer Science
,
2018
DOI:
10.1007/978-3-319-95162-1_44
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