Estimating of survival function under type one censoring sample for mixture distribution

Joint Authors

Abadi, Qisma S.
al-Kanani, Iden Hassan

Source

Ibn al-Haitham Journal for Pure and Applied Science

Issue

Vol. 33, Issue 4 (31 Dec. 2020), pp.102-109, 8 p.

Publisher

University of Baghdad College of Education for Pure Science / Ibn al-Haitham

Publication Date

2020-12-31

Country of Publication

Iraq

No. of Pages

8

Main Topic

Mathematics

Topics

Abstract EN

In this article, it is interesting to estimate and derive the three parameters which contain two scales parameters and one shape parameter of a new mixture distribution for the singly type one censored data which is the branch of right censored sample.

Then to define some special mathematical and statistical properties for this new mixture distribution which is considered one of the continuous distributions characterized by its flexibility.

Next, using maximum likelihood estimator method for singly type one censored data based on the Newton-Raphson matrix procedure to find and estimate values of these three parameters by utilizing the real data taken from the National Center for Research and Treatment of Hematology/University of Mustansiriyah for leukemia diseases.

After that we find and derive the estimate of probability density function, estimate survival function and finally estimate the hazard function.

American Psychological Association (APA)

Abadi, Qisma S.& al-Kanani, Iden Hassan. 2020. Estimating of survival function under type one censoring sample for mixture distribution. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 33, no. 4, pp.102-109.
https://search.emarefa.net/detail/BIM-977525

Modern Language Association (MLA)

Abadi, Qisma S.& al-Kanani, Iden Hassan. Estimating of survival function under type one censoring sample for mixture distribution. Ibn al-Haitham Journal for Pure and Applied Science Vol. 33, no. 4 (2020), pp.102-109.
https://search.emarefa.net/detail/BIM-977525

American Medical Association (AMA)

Abadi, Qisma S.& al-Kanani, Iden Hassan. Estimating of survival function under type one censoring sample for mixture distribution. Ibn al-Haitham Journal for Pure and Applied Science. 2020. Vol. 33, no. 4, pp.102-109.
https://search.emarefa.net/detail/BIM-977525

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 109

Record ID

BIM-977525