Abstract
The aim of this study is to analyze the number of deaths due to COVID-19 for Europe and China. For this purpose, we proposed a novel three parametric model named as Exponentiated transformation of Gumbel Type-II (ETGT-II) for modeling the two data sets of death cases due to COVID-19. Specific statistical attributes are derived and analyzed along with moments and associated measures, moments generating functions, uncertainty measures, complete/incomplete moments, survival function, quantile function and hazard function, etc. Additionally, model parameters are estimated by utilizing maximum likelihood method and Bayesian paradigm. To examine efficiency of the ETGT-II model a simulation analysis is performed. Finally, using the data sets of death cases of COVID-19 of Europe and China to show adaptability of suggested model. The results reveal that it may fit better than other well-known models.
| Original language | English |
|---|---|
| Pages (from-to) | 671-689 |
| Number of pages | 19 |
| Journal | Alexandria Engineering Journal |
| Volume | 60 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2021 |
Keywords
- COVID-19
- Entropies
- Gumbel model
- Reliability analysis
- Stochastic order
- Stress-strength analysis
ASJC Scopus subject areas
- General Engineering
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