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Communications in Statistics - Theory and Methods Volume 32, 2003 - Issue 4
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Original Articles

Inference Using Latent Variables for Mixtures of Distributions for Censored Data with Partial Identification

Alberto Contreras-Cristán Department of Probability and Statistics, IIMAS, National University of Mexico, Mexico, D.F., MexicoCorrespondence[email protected]
,
Eduardo Gutiérrez-Peña Department of Probability and Statistics, IIMAS, National University of Mexico, Mexico, D.F., Mexico
&
Federico O'Reilly Department of Probability and Statistics, IIMAS, National University of Mexico, Mexico, D.F., Mexico
Pages 749-774 | Published online: 02 Sep 2006

Citations (3)

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Read on this site (1)

D. Campos, C. E. Martínez, A. Contreras-Cristán & F. O'Reilly. (2010) Inferences for Mixtures of Distributions for Centrally Censored Data with Partial Identification. Communications in Statistics - Theory and Methods 39:12, pages 2241-2263.
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Articles from other publishers (2)

Alberto Contreras-Cristán. (2007) Using the EM algorithm for inference in a mixture of distributions with censored but partially identifiable data. Computational Statistics & Data Analysis 51:5, pages 2769-2781.
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Peter Baker, Kerrie Mengersen & Gerard Davis. (2005) A bayesian solution to reconstructing centrally censored distributions. Journal of Agricultural, Biological, and Environmental Statistics 10:1, pages 61-83.
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