On General Multivariate Mixture Models
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Publication:5172789
DOI10.1080/03610926.2012.724508zbMath1321.60032OpenAlexW2040603013MaRDI QIDQ5172789
Publication date: 5 February 2015
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2012.724508
Inequalities; stochastic orderings (60E15) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)
Related Items (4)
On comparisons of population and subpopulations in frailty models ⋮ Stochastic comparisons of multivariate reversed frailty model ⋮ A unified approach to stochastic comparisons of multivariate mixture models ⋮ Some stochastic properties of conditionally dependent frailty models
Cites Work
- Unnamed Item
- Stochastic properties of conditionally independent mixture models
- Stochastic comparisons of multivariate mixtures
- Stochastic orders
- Characterizations of multivariate life distributions
- Dependence in failure times due to environmental factors
- Stochastic comparisons of multivariate frailty models
- Stochastic comparisons of multivariate mixture models
- On multivariate mean remaining life functions
- Tail ordering and asymptotic efficiency of rank tests
- Some comments on the hazard gradient
- A general composition theorem and its applications to certain partial orderings of distributions
- Multivariate hazard rate orders
- Stochastic comparisons in multivariate mixed model of proportional reversed hazard rate with applications
- Random effect bivariate survival models and stochastic comparisons
- Preservation of positive and negative orthant dependence concepts under mixtures and applications
- Multivariate Lomax distribution: properties and usefulness in reliability theory
- COMPARISON OF DEPENDENCE IN FACTOR MODELS WITH APPLICATION TO CREDIT RISK PORTFOLIOS
- Dependence properties of multivariate mixture distributions and their applications
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