Alpha Power Transformed Log-Logistic Distribution with Application to Breaking Stress Data

المؤلف

Aldahlan, Maha A.

المصدر

Advances in Mathematical Physics

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-04-17

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الفيزياء

الملخص EN

In this paper, a new three-parameter lifetime distribution is introduced; the new model is a generalization of the log-logistic (LL) model, and it is called the alpha power transformed log-logistic (APTLL) distribution.

The APTLL distribution is more flexible than some generalizations of log-logistic distribution.

We derived some mathematical properties including moments, moment-generating function, quantile function, Rényi entropy, and order statistics of the new model.

The model parameters are estimated using maximum likelihood method of estimation.

The simulation study is performed to investigate the effectiveness of the estimates.

Finally, we used one real-life dataset to show the flexibility of the APTLL distribution.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Aldahlan, Maha A.. 2020. Alpha Power Transformed Log-Logistic Distribution with Application to Breaking Stress Data. Advances in Mathematical Physics،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1127318

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Aldahlan, Maha A.. Alpha Power Transformed Log-Logistic Distribution with Application to Breaking Stress Data. Advances in Mathematical Physics No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1127318

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Aldahlan, Maha A.. Alpha Power Transformed Log-Logistic Distribution with Application to Breaking Stress Data. Advances in Mathematical Physics. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1127318

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1127318