CD Tesis

Model Kasus Positif Covid-19 Dengan Menggunakan Distribusi Campuran

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The COVID-19 pandemic hit the world in early 2020 and caused many deaths
in various countries, one of which was Turkey. In March 2020, the first case of
COVID-19 was confirmed by the Turkish Ministry of Health. In May 2021, the
rise of cases continued to occur until it reached 5.2 million cases with a death toll
of 47,271 people. In this research, a model for Turkey’s COVID-19 positive cases
will build using a mixed distribution, namely log-normal, gamma and Weibull.
The purpose is to form some distribution models that can describe the spike in
positive covid-19 cases in Turkey. Parameter estimation for each distribution was
carried out using the maximum likelihood method. Then by using the Bayesian
Information Criterion (BIC) and Akaike Information Criterion (AIC) tests, it
was found that the 3-component gamma distribution is the best distribution to
describe the pattern of spikes in positive cases of COVID-19 in Turkey.
Keywords: Covid-19, gamma distribution, log-normal distribution, mixed
distribution, Weibull distribution.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1910246936

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Tesis Matematika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1910246936

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MATEMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

Lampiran Berkas

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