International Journal of Mathematics Trends and Technology
Volume 68 | Issue 12 | Year 2022 | Article Id. IJMTT-V68I12P512 | DOI : https://doi.org/10.14445/22315373/IJMTT-V68I12P512
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 30 Oct 2022 | 05 Dec 2022 | 17 Dec 2022 | 31 Dec 2022 |
The outbreak of COVID-19 pandemic has caused many deaths. The number of deaths that occur randomly per day has caused various problems, including reduced population, increased land for graves, and increased fear of the situation that has arisen which indirectly impacts decreased performance which ultimately weakens a country's economy. However, it is the concern of governments and others' responsibilities to provide the correct statistics and figures to take any practicable necessary steps. Where the statistical literature supposes that a model governs every real phenomenon, once we know the model, we can evaluate the dilemma. Therefore, in this article, we compare and analyze the frequency of a number of death from COVID-19 in Indonesia using the six probability modeling. Probability modeling will be carried out using six distributions, namely Weibull, Gamma, Log Normal, Amarendra, Rani and Akash will be used in this study. The maximum likelihood method will be used to get the estimated parameter from the models used in this study. The distribution will be selected based on some methods of Good of Fit Test namely graphical (pdf plot and cumulative distribution function (CDF) plot) and numerical (Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), and Log Likelihood (Log-L)). In most cases, graphical methods give the same results but their AIC and BIC results are different. The most suitable result is selected as the distribution with the lowest AIC and BIC values. In general, the Weibull distribution has been chosen as the best model.
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Anisha Putri Ramadhani, Rado Yendra, Muhammad Marizal, Rahmadeni, "The Modelling Number of Daily Death Covid 19 Data Using Some of Two and One Parameter Distributions in Indonesia," International Journal of Mathematics Trends and Technology (IJMTT), vol. 68, no. 12, pp. 106-111, 2022. Crossref, https://doi.org/10.14445/22315373/IJMTT-V68I12P512
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