The mean remaining strength of parallel systems in a stress-strength model based on exponential distribution

Fatih KIZILASLAN

doi:https://doi.org/10.31801/cfsuasmas.539171

Article Details

The mean remaining strength of parallel systems in a stress-strength model based on exponential distribution

Authors:

Fatih KIZILASLAN

Publisher:

Ankara University

Journal:

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 2019 Vol.68 Issue 2, pp.1435-1451

Document Type:

Article

Publication Date:

7/2019

Document Language:

English

Document ID (Org No.):

2000909277

Frequency:

Quarterly

eISSN:

2618-6470

pISSN:

1303-5991

DOI:

https://doi.org/10.31801/cfsuasmas.539171

Abstract:

 

The mean remaining strength of any coherent system is one of the important characteristics in stress-strength reliability. It shows that the system on the average how long can be safe under the stress. In this paper, we consider the mean remaining strength of the parallel systems in the stress-strength model. We assume that the strength and stress components constitute parallel systems separately. The mean remaining strength and its estimations are obtained when the all components follow the exponential distribution. The likelihood ratio order between the remaining strength of the parallel systems is presented for two-component case. The simulation study is performed to compare the derived estimates and their results are presented.

Article Details

The mean remaining strength of parallel systems in a stress-strength model based on exponential distribution

Authors: Fatih KIZILASLAN

Publisher: Ankara University

Journal: Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 2019 Vol.68 Issue 2, pp.1435-1451

Document Type: Article

Publication Date: 7/2019

Document Language: English

Document ID (Org No.): 2000909277

Frequency: Quarterly

eISSN: 2618-6470

pISSN: 1303-5991

DOI: https://doi.org/10.31801/cfsuasmas.539171

Issues

Authors:

Fatih KIZILASLAN

Publisher:

Ankara University

Journal:

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 2019 Vol.68 Issue 2, pp.1435-1451

Document Type:

Article

Publication Date:

7/2019

Document Language:

English

Document ID (Org No.):

2000909277

Frequency:

Quarterly

eISSN:

2618-6470

pISSN:

1303-5991

DOI:

https://doi.org/10.31801/cfsuasmas.539171