Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Statistical Analysis of Covid-19 Data using the Odd Log Logistic Kumaraswamy Distribution
Statistics, Optimization and Information Computing · Ocak 2024
YÖKSİS Kayıtları
Statistical Analysis of Covid-19 Data using the Odd Log Logistic Kumaraswamy Distribution
Statistics, Optimization & Information Computing · 2023 Scopus
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Makale Bilgileri
DergiStatistics, Optimization and Information Computing
Yayın TarihiOcak 2024
Cilt / Sayfa12 · 210-230
Scopus ID2-s2.0-85178197582
Erişim🔓 Açık Erişim
Özet
This paper presents a statistical analysis of Covid-19 data using a new distribution. Some mathematical properties of the proposed distribution such as survival and hazard functions, quantile function, median, ordinary and incomplete moments, moment generating function, probability weighted moment, distribution of order statistic, and Renyi entropy are derived. Five estimators are examined for unknown model parameters. The performances of the estimators are compared using an extensive simulation study based on the bias and mean square error criterion. Two Covid-19 data sets representing the percentage of daily recoveries of Covid-19 patients are used to illustrate the utility of the new distribution. The results show that the new model is a superior alternative for some current models with bounded support.
Yazarlar (3)
1
Festus C. Opone
2
Ngozi O. Ubaka
3
Kadir Karakaya
Anahtar Kelimeler
Kumaraswamy Distribution
Moments
Odd Log Logistic-G Distribution
Quantiles
Kurumlar
Delta State University of Science & Technology, Ozoro
Ozoro Nigeria
Federal University, Oye-Ekiti
Oye-Ekiti Nigeria
Selçuk Üniversitesi
Selçuklu Turkey
University of Benin
Benin Nigeria
Metrikler
2
Atıf
3
Yazar
4
Anahtar Kelime