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

Author

Aldahlan, Maha A.

Source

Advances in Mathematical Physics

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-17

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Physics

Abstract 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.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1127318