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Journal of Statistical Computation and Simulation Volume 43, 1992 - Issue 1-2
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Original Articles

Improving the convergence rate of the em algorithm for a mixture model fitted to grouped truncated data

Peter N. Jones CSIRO Biometrics Unit, Brisbane
&
Mclachlan J. Geoffrey Department of Mathematics, University of Queensland,
Pages 31-44 | Received 09 Feb 1991, Published online: 20 Mar 2007

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Read on this site (1)

Kamel Jedidi, Venkatram Ramaswamy, WayneS. DeSarbo & Michel Wedel. (1996) On estimating finite mixtures of multivariate regression and simultaneous equation models. Structural Equation Modeling: A Multidisciplinary Journal 3:3, pages 266-289.
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Articles from other publishers (7)

Antonio Calcagnì. (2022) Estimating Latent Linear Correlations from Fuzzy Frequency Tables. Communications in Mathematics and Statistics.
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Shaoyang Guo & Chanjin Zheng. (2019) The Bayesian Expectation-Maximization-Maximization for the 3PLM. Frontiers in Psychology 10.
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Wai-Yin Poon & Hai-Bin Wang. (2010) Analysis of ordinal categorical data with misclassification. British Journal of Mathematical and Statistical Psychology 63:1, pages 17-42.
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Roy L. Streit, Marcus L. Graham & Michael J. Walsh. (2002) Multitarget Tracking of Distributed Targets Using Histogram-PMHT. Digital Signal Processing 12:2-3, pages 394-404.
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BS Everitt. (2016) An introduction to finite mixture distributions. Statistical Methods in Medical Research 5:2, pages 107-127.
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Michel Wedel & Wayne S. DeSarbo. (1995) A mixture likelihood approach for generalized linear models. Journal of Classification 12:1, pages 21-55.
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GJ McLachlan & DC McGiffin. (2016) On the role of finite mixture models in survival analysis. Statistical Methods in Medical Research 3:3, pages 211-226.
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