Shanker Distribution with applications of Bayesian Estimation for Kumaraswamy COVID-19 Data
| المصدر: | مجلة التجارة والتمويل |
|---|---|
| الناشر: | جامعة طنطا - كلية التجارة |
| المؤلف الرئيسي: | أبو زيد، نصر رشوان (مؤلف) |
| المؤلف الرئيسي (الإنجليزية): | Rashwan, Nasr Ibrahim |
| مؤلفين آخرين: | كامل، مي محمد (م. مشارك) , سالم، هناء عبدالرحيم (م. مشارك) |
| المجلد/العدد: | ع1 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2022
|
| الشهر: | مارس |
| الصفحات: | 94 - 110 |
| DOI: |
10.21608/caf.2022.239070 |
| ISSN: |
1110-4716 |
| رقم MD: | 1275332 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Kumaraswamy Distribution | Shanker Distribution | Moments Generating Function | Quantile Function | Maximum Likelihood Estimation | Bayesian Estimation
|
| رابط المحتوى: |
عدد مرات التحميل
8
| المستخلص: |
In this paper, a new three-parameter distribution called the Kumaraswamy Shanker (Kw- Sh) distribution is proposed and studied. The reliability (survival) function, hazard rate function, reversed hazard rate function r and the cumulative hazard rate function of the new distribution is obtained. Some mathematical properties of this distribution such as moments, moments generating function, incomplete moments, quantile function, entropies (Renyi and Shannon) and mean deviation are derived. The method of maximum likelihood and Bayesian estimation method are used to estimate the distribution parameters. Finally, two real datasets, related to Covid-19, were used to examine the performance of the proposed distribution compared to Shanker and exponential distributions based on Akaike information criterion (AIC). The results showed that the new distribution is more proper in fitting data than other distributions. Also, the estimation of parameters using the Bayesian method is better than the maximum likelihood method. |
|---|---|
| ISSN: |
1110-4716 |
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