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 Subjects
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