Stochastic properties of generalized finite mixture models with dependent components
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Publication:5152524
DOI10.1017/JPR.2021.4zbMath1473.90059OpenAlexW3200407068MaRDI QIDQ5152524
Ebrahim Amini-Seresht, Narayanaswamy Balakrishnan
Publication date: 24 September 2021
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/jpr.2021.4
Inequalities; stochastic orderings (60E15) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of renewal theory (reliability, demand theory, etc.) (60K10)
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Cites Work
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- Stochastic comparisons of generalized mixtures and coherent systems
- Preservation of stochastic orders under the formation of generalized distorted distributions. Applications to coherent systems
- Stochastic comparisons of multivariate mixtures
- An introduction to copulas.
- Multivariate stochastic comparisons of mixture models
- Stochastic comparisons of multivariate frailty models
- Stochastic comparisons of multivariate mixture models
- Stochastic comparisons on two finite mixture models
- Reliability of a \(k\) out of \(n\) system of components sharing a common environment
- Stochastic comparisons in multivariate mixed model of proportional reversed hazard rate with applications
- General frailty model and stochastic orderings
- On comparing coherent systems with heterogeneous components
- Generalized mixtures in reliability modelling: Applications to the construction of bathtub shaped hazard models and the study of systems
- On the Mixture of Proportional Odds Models
- On Closure of the IFR Class Under Formation of Coherent Systems
- Stochastic comparisons of coherent systems under different random environments
- Stochastic ordering properties for systems with dependent identically distributed components
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