Identifiability and Comparison of Estimation Methods on Weibull Mixture Models
DOI10.1080/03610918.2013.839031zbMath1320.62148OpenAlexW1965408364WikidataQ59286389 ScholiaQ59286389MaRDI QIDQ2943801
José A. Villaseñor-Alva, E. Gutierrez Gonzalez, Humberto Vaquera-Huerta, Olga Vladimirovna Panteleeva
Publication date: 4 September 2015
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2013.839031
Multivariate distribution of statistics (62H10) Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reliability and life testing (62N05)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- A two-component Weibull mixture to model early and late mortality in a Bayesian framework
- Mixture of two inverse Weibull distributions: properties and estimation
- On the convergence properties of the EM algorithm
- Identifiability of finite mixtures using a new transform
- Remarks on the non-identifiability of mixtures of distributions
- A new condition for identifiability of finite mixture distributions
- Identifiability of mixtures of exponential families
- The REBMIX Algorithm and the Univariate Finite Mixture Estimation
- On the identifiability of finite mixtures of distributions (Corresp.)
- Weibull Models
- Identifiability of Finite Mixtures of Elliptical Distributions
- Identifiability of Finite Mixtures
- On the Identifiability of Finite Mixtures
- Estimating the components of a mixture of normal distributions
- On the identifiability of finite mixtures of Laguerre distributions (Corresp.)
- Generalized Additive Models for Location, Scale and Shape
This page was built for publication: Identifiability and Comparison of Estimation Methods on Weibull Mixture Models
