Employ shrinkage estimation technique for the reliability system in stress strength models : special case of exponentiated family distribution

Joint Authors

Iman A. A.
Abbas N. S.

Source

Ibn al-Haitham Journal for Pure and Applied Science

Issue

Vol. 33, Issue 4 (31 Dec. 2020), pp.50-58, 9 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

9

Main Topic

Physics

Topics

Abstract EN

A reliability system of the multi-component stress-strength model R(s, k) will be considered in the present paper, when the stress and strength are independent and non-identically distribution have the Exponentiated Family Distribution(FED) with the unknown shape parameter α and known scale parameter λ equal to two and parameter θ equal to three.

Different estimation methods of R(s, k) were introduced corresponding to Maximum likelihood and Shrinkage estimators.

Comparisons among the suggested estimators were prepared depending on simulation established on mean squared error (MSE) criteria.

American Psychological Association (APA)

Iman A. A.& Abbas N. S.. 2020. Employ shrinkage estimation technique for the reliability system in stress strength models : special case of exponentiated family distribution. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 33, no. 4, pp.50-58.
https://search.emarefa.net/detail/BIM-977519

Modern Language Association (MLA)

Iman A. A.& Abbas N. S.. Employ shrinkage estimation technique for the reliability system in stress strength models : special case of exponentiated family distribution. Ibn al-Haitham Journal for Pure and Applied Science Vol. 33, no. 4 (2020), pp.50-58.
https://search.emarefa.net/detail/BIM-977519

American Medical Association (AMA)

Iman A. A.& Abbas N. S.. Employ shrinkage estimation technique for the reliability system in stress strength models : special case of exponentiated family distribution. Ibn al-Haitham Journal for Pure and Applied Science. 2020. Vol. 33, no. 4, pp.50-58.
https://search.emarefa.net/detail/BIM-977519

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 57-58

Record ID

BIM-977519