On parametric linear transformation model with left-truncated and interval-censored data

Joint Authors

al-Musawi, Riyad R.
Aziz, Ali

Source

Journal of College of Education for Pure Sciences

Issue

Vol. 10, Issue 1 (31 Mar. 2020), pp.100-111, 12 p.

Publisher

University of Thi-Qar College of Education for Pure Sciences

Publication Date

2020-03-31

Country of Publication

Iraq

No. of Pages

12

Main Subjects

Mathematics
Information Technology and Computer Science

Abstract EN

In this paper, a parametric linear transformation model is considered with left truncated and interval censored case I data.

The maximum likelihood estimators of the regression parameters are computed.

The testing of hypotheses regarding to the parameters are also performed.

An extensive Monte Carlo simulation technique was used to compute the proposed estimators along with some of their properties

American Psychological Association (APA)

Aziz, Ali& al-Musawi, Riyad R.. 2020. On parametric linear transformation model with left-truncated and interval-censored data. Journal of College of Education for Pure Sciences،Vol. 10, no. 1, pp.100-111.
https://search.emarefa.net/detail/BIM-1383827

Modern Language Association (MLA)

Aziz, Ali& al-Musawi, Riyad R.. On parametric linear transformation model with left-truncated and interval-censored data. Journal of College of Education for Pure Sciences Vol. 10, no. 1 (Mar. 2020), pp.100-111.
https://search.emarefa.net/detail/BIM-1383827

American Medical Association (AMA)

Aziz, Ali& al-Musawi, Riyad R.. On parametric linear transformation model with left-truncated and interval-censored data. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 1, pp.100-111.
https://search.emarefa.net/detail/BIM-1383827

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 110-111

Record ID

BIM-1383827