Lokasi: Will Covid-19 cases in the World reach 4 million? a forecasting approach using SutteARIMA

Main Authors:	Ansari Saleh, Ahmar, Rusli, Rusli
Format:	Article PeerReviewed Book
Bahasa:	eng
Subjects:	STATISTIKA - (S1) PENDIDIKAN MATEMATIKA - (S1)
Online Access:	http://eprints.unm.ac.id/24503/1/2%20-%20389-931-1-PB-JOIV-SutteARIMA.pdf http://eprints.unm.ac.id/24503/2/Peer%20Review%20Will%20Covid-19.pdf http://eprints.unm.ac.id/24503/4/2%20%23389%20JOIV.pdf http://eprints.unm.ac.id/24503/5/Turnitin%20Will%20Covid-19%20cases%20in%20the%20World%20reach%204%20million%20a%20forecasting%20approach%20using%20SutteARIMA.pdf http://eprints.unm.ac.id/24503/

Koleksi	Eprints Universitas Negeri Makassar
Gedung	Perpustakaan Universitas Negeri Makassar
Institusi	Universitas Negeri Makassar
Kota	KOTA MAKASSAR
Provinsi	SULAWESI SELATAN
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