Estimation of reliability in multicomponent stress–strength based on two parameter exponentiated Weibull Distribution. Issue 15 (3rd August 2017)
- Record Type:
- Journal Article
- Title:
- Estimation of reliability in multicomponent stress–strength based on two parameter exponentiated Weibull Distribution. Issue 15 (3rd August 2017)
- Main Title:
- Estimation of reliability in multicomponent stress–strength based on two parameter exponentiated Weibull Distribution
- Authors:
- Srinivasa Rao, G.
Aslam, Muhammad
Arif, Osama H. - Abstract:
- ABSTRACT: In this research article, we estimate the multicomponent stress–strength reliability of a system when strength and stress variates are drawn from an exponentiated Weibull distribution with different shape parameters α and β, and common shape and scale parameters γ and λ, respectively. We estimate the parameters by using maximum likelihood estimation (MLE) and hence the estimate of reliability obtained applying the MLE method of estimation when samples are drawn from stress and strength distributions. The small sample comparison of the reliability estimates is made through Monte Carlo simulation.
- Is Part Of:
- Communications in statistics. Volume 46:Issue 15(2017)
- Journal:
- Communications in statistics
- Issue:
- Volume 46:Issue 15(2017)
- Issue Display:
- Volume 46, Issue 15 (2017)
- Year:
- 2017
- Volume:
- 46
- Issue:
- 15
- Issue Sort Value:
- 2017-0046-0015-0000
- Page Start:
- 7495
- Page End:
- 7502
- Publication Date:
- 2017-08-03
- Subjects:
- Confidence intervals -- Exponentiated Weibull distribution -- MLE estimation -- Reliability estimation -- Stress–strength
Primary: 62F10 -- Secondary: 62F12, 62F40, 90B25, 62E20
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2016.1154155 ↗
- Languages:
- English
- ISSNs:
- 0361-0926
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.432000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2572.xml