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Journal of Statistical Computation and Simulation Volume 23, 1986 - Issue 3
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Original Articles

A constrained em algorithm for univariate normal mixtures

Richard J. Hathaway Department of Mathematics and Statistics, University of South Carolina, Columbia, SC, 29208, U.S.A
Pages 211-230 | Received 15 Aug 1984, Published online: 20 Mar 2007

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Antonio Punzo. (2019) A new look at the inverse Gaussian distribution with applications to insurance and economic data. Journal of Applied Statistics 46:7, pages 1260-1287.
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Antonio Punzo, Ryan P. Browne & Paul D. McNicholas. (2016) Hypothesis Testing for Mixture Model Selection. Journal of Statistical Computation and Simulation 86:14, pages 2797-2818.
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Wilfried Seidel, Hana Ševčíková & Krunoslav Sever. (2007) Testing Against Nonparametric Alternatives in Mixture Models. Journal of Computational and Graphical Statistics 16:2, pages 350-377.
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D.M. Titterington. (1990) Some recent research in the analysis of mixture distributions. Statistics 21:4, pages 619-641.
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Libin Jin, Sung Nok Chiu, Jianhua Zhao & Lixing Zhu. (2022) A constrained maximum likelihood estimation for skew normal mixtures. Metrika 86:4, pages 391-419.
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Antonello Maruotti & Antonio Punzo. (2021) Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies. International Statistical Review 89:3, pages 447-480.
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Antonio Punzo & Paul D. McNicholas. (2016) Parsimonious mixtures of multivariate contaminated normal distributions. Biometrical Journal 58:6, pages 1506-1537.
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Camila B. Zeller, Celso R. B. Cabral & Víctor H. Lachos. (2015) Robust mixture regression modeling based on scale mixtures of skew-normal distributions. TEST 25:2, pages 375-396.
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Andrea Mercatanti. (2013) A Likelihood‐Based Analysis for Relaxing the Exclusion Restriction in Randomized Experiments with Noncompliance. Australian & New Zealand Journal of Statistics 55:2, pages 129-153.
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Koray Kayabol. (2012) Latent variable based spatial clustering with background noise. Latent variable based spatial clustering with background noise.
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J. Tory Cobb, K. Clint Slatton & Gerald J. Dobeck. (2010) A Parametric Model for Characterizing Seabed Textures in Synthetic Aperture Sonar Images. IEEE Journal of Oceanic Engineering 35:2, pages 250-266.
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Jan Bulla, Ingo Bulla & Oleg Nenadić. (2010) hsmm — An R package for analyzing hidden semi-Markov models. Computational Statistics & Data Analysis 54:3, pages 611-619.
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Jianjun Xu, Xianming Tan & Runchu Zhang. (2010) A note on Phillips (1991): “A constrained maximum likelihood approach to estimating switching regressions”. Journal of Econometrics 154:1, pages 35-41.
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Wonkuk Kim, Derek Gordon, Jonathan Sebat, Kenny Q. Ye & Stephen J. Finch. (2008) Computing Power and Sample Size for Case-Control Association Studies with Copy Number Polymorphism: Application of Mixture-Based Likelihood Ratio Test. PLoS ONE 3:10, pages e3475.
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Yungtai Lo. (2008) A likelihood ratio test of a homoscedastic normal mixture against a heteroscedastic normal mixture. Statistics and Computing 18:3, pages 233-240.
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Jan Bulla & Andreas Berzel. (2007) Computational issues in parameter estimation for stationary hidden Markov models. Computational Statistics 23:1, pages 1-18.
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