Stress–strength models with more than two states under exponential distribution
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Publication:2980047
DOI10.1080/03610926.2014.988257zbMath1360.62088OpenAlexW2400341292MaRDI QIDQ2980047
Kashinath Chatterjee, Somesh Kumar, Hong Qin, Nabakumar Jana
Publication date: 27 April 2017
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.988257
Bayes estimatorstress-strength reliabilityminimum variance unbiased estimatorbest scale equivariant estimator
Related Items (4)
Stress-strength reliability analysis of multi-state system based on generalized survival signature ⋮ Estimation and comparison of the stress-strength models with more than two states under Weibull distribution and type II censoring scheme ⋮ Estimating a new stress–strength index for several exponential populations with a common location ⋮ Statistical inference for dependent stress-strength reliability of multi-state system using generalized survival signature
Cites Work
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- Shrinkage estimation of \(P(X<Y)\) in the exponential case with common location parameter
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- Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers
- Multistate Systems Reliability Theory with Applications
- Reliability Evaluation for a Multi-State System Under Stress-Strength Setup
- Estimation of Pr( x<y ) in the exponential case with common location parameter
- Inference on p{y<x} in the weibull case
- Inferences on Stress-Strength Reliability from Lindley Distributions
- A note on the estimation of P(Y>X) in two-parameter exponential distributions
- Comparison of Different Estimators ofP [Y < X for a Scaled Burr Type X Distribution]
- Multistate reliability models
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