EconPapers    
Economics at your fingertips  
 

Estimation of parameters for load-sharing parallel systems under exponential Pareto distribution

Zhengcheng Zhang, Yonghong Yang and Danqing Li

Journal of Risk and Reliability, 2022, vol. 236, issue 2, 248-255

Abstract: This article deals with the estimation of parameters for the load-sharing parallel system when the underlying distribution of component lifetime is exponential Pareto. The appropriate iterative method is used to get the parameter estimators. And the asymptotic distribution of the proposed maximum likelihood estimator is presented. For the model simplified, the maximum likelihood and best asymptotic unbiased estimators of parameters are obtained. Moreover, the confidence intervals for the parameters are constructed using the parameter bootstrap technique. In the end, some appropriate simulation methods and an example are used to substantiate the proposed methods.

Keywords: Load-sharing parallel systems; EP distribution; ML; BAU; bootstrap technique; iterative method (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1748006X20929972 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:236:y:2022:i:2:p:248-255

DOI: 10.1177/1748006X20929972

Access Statistics for this article

More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:risrel:v:236:y:2022:i:2:p:248-255