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The 4 weeks ahead forecasts for 187 countries and at the ag..:

Ghufran Ahmad (8919233) ; Furqan Ahmed (652244) ; Muhammad Suhail Rizwan (10844108)...
https://figshare.com/articles/figure/The_4_weeks_ahead_forecasts_for_187_countries_and_at_the_aggregated_level_for_the_entire_world_using_the_i_ARIMA_i_and_i_ETS_i_methodologies_/14640905. , 2021

Link: https://doi.org/10.1371/journal.pone.0252147.s013

RT Journal
T1 <Title>The 4 weeks ahead forecasts for 187 countries and at the aggregated level for the entire world using the ARIMA and ETS methodologies</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14640905&Exemplar=1&LAN=DE
				
A1 Ghufran Ahmad (8919233)
A1 Furqan Ahmed (652244)
A1 Muhammad Suhail Rizwan (10844108)
A1 Javed Muhammad (6558341)
A1 Syeda Hira Fatima (10844111)
A1 Aamer Ikram (8201094)
A1 Hajo Zeeb (406794)
YR 2021
K1 Medicine
K1 Neuroscience
K1 Mental Health
K1 Infectious Diseases
K1 Computational Biology
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 SARS-CoV 2. Methodology
K1 SARS-CoV 2 cases Background
K1 guidance
K1 data-driven
K1 COVID -19 cases
K1 MAE
K1 4 weeks
K1 method
K1 RWF
K1 pandemic
K1 February 2021. Conclusion
K1 ETS
K1 forecasting
K1 Absolute Percentage Error
K1 ARIMA
K1 MAPE
K1 model
JF https://figshare.com/articles/figure/The_4_weeks_ahead_forecasts_for_187_countries_and_at_the_aggregated_level_for_the_entire_world_using_the_i_ARIMA_i_and_i_ETS_i_methodologies_/14640905
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0252147.s013
DO https://doi.org/10.1371/journal.pone.0252147.s013
SF ELIB - SuUB Bremen

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