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Asymptotic theory for maximum likelihood in nonparametric mixture models

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  • van de Geer, Sara

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  • van de Geer, Sara, 2003. "Asymptotic theory for maximum likelihood in nonparametric mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 453-464, January.
  • Handle: RePEc:eee:csdana:v:41:y:2003:i:3-4:p:453-464
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    References listed on IDEAS

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    1. V. D. Geer, S., 1995. "Asymptotic Normality in Mixture Models," SFB 373 Discussion Papers 1995,12, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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    Cited by:

    1. Bohning, Dankmar & Seidel, Wilfried, 2003. "Editorial: recent developments in mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 349-357, January.
    2. Pledger, Shirley & Arnold, Richard, 2014. "Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 241-261.
    3. Dankmar Böhning & Ronny Kuhnert, 2006. "Equivalence of Truncated Count Mixture Distributions and Mixtures of Truncated Count Distributions," Biometrics, The International Biometric Society, vol. 62(4), pages 1207-1215, December.

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