Modelling COViD-19 Daily New Cases Using GSTAR-ARIMA Forecasting Method: Case Study on Five Malaysian States

Siti Nabilah Syuhada Abdullah; Ani Shabri; Faisal Saeed; Ruhaidah Samsudin; Shadi Basurra

doi:10.1007/978-3-031-36258-3_39

Modelling COViD-19 Daily New Cases Using GSTAR-ARIMA Forecasting Method: Case Study on Five Malaysian States

Siti Nabilah Syuhada Abdullah^*
, Ani Shabri
, Faisal Saeed
, Ruhaidah Samsudin
, Shadi Basurra

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (SciVal)

Original language	English
Pages (from-to)	439-448
Number of pages	10
Journal	Lecture Notes on Data Engineering and Communications Technologies
DOIs	https://doi.org/10.1007/978-3-031-36258-3_39 https://doi.org/10.1007/978-3-031-36258-3_39
Publication status	Published (VoR) - 17 Aug 2023

Keywords

ARIMA
Forecasting
GSTAR
Hybrid Model

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title = "Modelling COViD-19 Daily New Cases Using GSTAR-ARIMA Forecasting Method: Case Study on Five Malaysian States",

keywords = "ARIMA, Forecasting, GSTAR, Hybrid Model",

author = "Abdullah, \{Siti Nabilah Syuhada\} and Ani Shabri and Faisal Saeed and Ruhaidah Samsudin and Shadi Basurra",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

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doi = "10.1007/978-3-031-36258-3\_39",

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journal = "Lecture Notes on Data Engineering and Communications Technologies",

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T1 - Modelling COViD-19 Daily New Cases Using GSTAR-ARIMA Forecasting Method

T2 - Case Study on Five Malaysian States

AU - Abdullah, Siti Nabilah Syuhada

AU - Shabri, Ani

AU - Saeed, Faisal

AU - Samsudin, Ruhaidah

AU - Basurra, Shadi

PY - 2023/8/17

Y1 - 2023/8/17

KW - ARIMA

KW - Forecasting

KW - GSTAR

KW - Hybrid Model

UR - http://www.open-access.bcu.ac.uk/13962/

U2 - 10.1007/978-3-031-36258-3_39

DO - 10.1007/978-3-031-36258-3_39

M3 - Article

SN - 2367-4512

SP - 439

EP - 448

JO - Lecture Notes on Data Engineering and Communications Technologies

JF - Lecture Notes on Data Engineering and Communications Technologies

ER -

Modelling COViD-19 Daily New Cases Using GSTAR-ARIMA Forecasting Method: Case Study on Five Malaysian States

Keywords

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