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Analysis of rounded data in mixture normal model

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  • Ningning Zhao
  • Zhidong Bai

Abstract

Rounding errors have a considerable impact on statistical inferences, especially when the data size is large and the finite normal mixture model is very important in many applied statistical problems, such as bioinformatics. In this article, we investigate the statistical impacts of rounding errors to the finite normal mixture model with a known number of components, and develop a new estimation method to obtain consistent and asymptotically normal estimates for the unknown parameters based on rounded data drawn from this kind of models. Copyright Springer-Verlag 2012

Suggested Citation

  • Ningning Zhao & Zhidong Bai, 2012. "Analysis of rounded data in mixture normal model," Statistical Papers, Springer, vol. 53(4), pages 895-914, November.
    • Handle: RePEc:spr:stpapr:v:53:y:2012:i:4:p:895-914
    DOI: 10.1007/s00362-011-0395-0
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    References listed on IDEAS

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    1. Baoxue Zhang & Tianqing Liu & Z. Bai, 2010. "Analysis of rounded data from dependent sequences," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(6), pages 1143-1173, December.
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