Estimating Component Cumulative Distribution Functions in Finite Mixture Models

DOI10.1081/STA-200026574zbMath1215.62036OpenAlexW2091685531MaRDI QIDQ3155379

Ryan Elmore, Thomas P. Hettmansperger, Hoben II Thomas

Publication date: 14 January 2005

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-200026574

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to psychology (62P15)

Related Items

Efficient mixture model for clustering of sparse high dimensional binary data, Semi-parametric estimation for conditional independence multivariate finite mixture models, Identifiability of parameters in latent structure models with many observed variables, Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences

Cites Work

• Nonparametric estimation of component distributions in a multivariate mixture
• Almost Nonparametric Inference for Repeated Measures in Mixture Models
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