The Survival Function for COVID-19 Patients Using the XGD Model Estimated by Moments Method and Maximum Likelihood Method
| المصدر: | مجلة القادسية للعلوم الإدارية والاقتصادية |
|---|---|
| الناشر: | جامعة القادسية - كلية الادارة والاقتصاد |
| المؤلف الرئيسي: | AL-Sharoot, Mohammed H. (Author) |
| مؤلفين آخرين: | AL-Sayeab, Karrar R. (Co-Author) |
| المجلد/العدد: | مج25, ع1 |
| محكمة: | نعم |
| الدولة: |
العراق |
| التاريخ الميلادي: |
2023
|
| الصفحات: | 190 - 197 |
| ISSN: |
1816-9171 |
| رقم MD: | 1367961 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Xgamma Distribution | Xgamma2 Distribution | Survival Function | Moments Estimation | Maximum Likelihood Estimation
|
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| LEADER | 02457nam a22002297a 4500 | ||
|---|---|---|---|
| 001 | 2119674 | ||
| 041 | |a eng | ||
| 044 | |b العراق | ||
| 100 | |9 725104 |a AL-Sharoot, Mohammed H. |e Author | ||
| 245 | |a The Survival Function for COVID-19 Patients Using the XGD Model Estimated by Moments Method and Maximum Likelihood Method | ||
| 260 | |b جامعة القادسية - كلية الادارة والاقتصاد |c 2023 | ||
| 300 | |a 190 - 197 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b This paper studies some properties of the Xgamma probability distribution, which results from mixing the exponential distribution and the gamma distribution with specific weights. Then a new form of the distribution was proposed by replacing the mixing weights, one with the other for the XG distribution in the mixing function, to obtain the proposed distribution Xgamma2 (XG2D), after which the mathematical properties and survival functions of the proposed model was studied, then some properties of the exponential distribution were studied for comparison with the previous two distributions. The Moments method and the Maximum Likelihood function were used to estimate parameter for studied models. In addition, by using simulations, we found that the Maximum Likelihood method is the best in estimating the survival function of the proposed distribution. Finally, We found The data are better fit by Xgamma than the other of studied models when analyzing patients infected with Covid-19 virus in Najaf, because it achieved the lowest criteria (AIC, AICc, BIC) from other distributions, followed by the proposed Xgamma2 distribution, followed by the exponential distribution. | ||
| 653 | |a الخصائص الرياضية |a العمليات الإحصائية |a دالة البقاء |a فيروس كورونا "كوفيد-19" | ||
| 692 | |b Xgamma Distribution |b Xgamma2 Distribution |b Survival Function |b Moments Estimation |b Maximum Likelihood Estimation | ||
| 700 | |9 725105 |a AL-Sayeab, Karrar R. |e Co-Author | ||
| 773 | |4 الاقتصاد |4 إدارة الأعمال |6 Economics |6 Business |c 011 |e Al-Qadisiyah Journal for Administrative & Economic Sciences |f Maǧallaẗ al-qādisiyyaẗ li-l-ʻulūm al-idāriyyaẗ wa-al-iqtiṣādiyyaẗ |l 001 |m مج25, ع1 |o 0478 |s مجلة القادسية للعلوم الإدارية والاقتصادية |v 025 |x 1816-9171 | ||
| 856 | |u 0478-025-001-011.pdf | ||
| 930 | |d n |p y |q n | ||
| 995 | |a EcoLink | ||
| 999 | |c 1367961 |d 1367961 | ||
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