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Communications in Statistics - Theory and Methods Volume 33, 2004 - Issue 9
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Original Articles

Estimating Component Cumulative Distribution Functions in Finite Mixture Models

Ryan T. Elmore Department of Statistics and Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA; Centre for Mathematics and Its Applications, The Australian National University, Canberra, ACT, Australia
,
Thomas P. Hettmansperger Department of Statistics and Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA; Department of Statistics, The Pennsylvania State University, 326 Thomas Building, University Park, PA, 16803, USACorrespondence[email protected]
&
Hoben Thomas Centre for Mathematics and Its Applications, The Australian National University, Canberra, ACT, Australia
Pages 2075-2086 | Published online: 15 Feb 2007

Citations (12)

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Tatiana Benaglia, Didier Chauveau & David R. Hunter. (2009) An EM-Like Algorithm for Semi- and Nonparametric Estimation in Multivariate Mixtures. Journal of Computational and Graphical Statistics 18:2, pages 505-526.
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Articles from other publishers (11)

Yun Wei & XuanLong Nguyen. (2022) Convergence of de Finetti’s mixing measure in latent structure models for observed exchangeable sequences. The Annals of Statistics 50:4.
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Marek Śmieja, Krzysztof Hajto & Jacek Tabor. (2019) Efficient mixture model for clustering of sparse high dimensional binary data. Data Mining and Knowledge Discovery 33:6, pages 1583-1624.
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Hema Yoganarasimhan. (2016) Estimation of Beauty Contest Auctions. Marketing Science 35:1, pages 27-54.
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Stéphane Bonhomme, Koen Jochmans & Jean-Marc Robin. (2016) Non-Parametric Estimation of Finite Mixtures from Repeated Measurements. Journal of the Royal Statistical Society Series B: Statistical Methodology 78:1, pages 211-229.
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Didier Chauveau, David R. Hunter & Michael Levine. (2015) Semi-parametric estimation for conditional independence multivariate finite mixture models. Statistics Surveys 9:none.
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Hiroyuki Kasahara & Katsumi Shimotsu. (2014) Non-Parametric Identification and Estimation of the Number of Components in Multivariate Mixtures. Journal of the Royal Statistical Society Series B: Statistical Methodology 76:1, pages 97-111.
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M. Levine, D. R. Hunter & D. Chauveau. (2011) Maximum smoothed likelihood for multivariate mixtures. Biometrika 98:2, pages 403-416.
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Panos V. Petrakis. 2011. Computational Paleontology. Computational Paleontology 179 219 .
Elizabeth S. Allman, Catherine Matias & John A. Rhodes. (2009) Identifiability of parameters in latent structure models with many observed variables. The Annals of Statistics 37:6A.
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R. T. Elmore, T. P. Hettmansperger & F. Xuan. (2006) A FULLY NONPARAMETRIC TEST FOR ONE-WAY LAYOUTS. Australian & New Zealand Journal of Statistics 48:4, pages 477-490.
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Hema Yoganarasimhan. (2013) Estimation of Beauty Contest Auctions. SSRN Electronic Journal.
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