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Application of Truncated and Mixture Distributions to Comparisons of Birthweight

  • A. J. Scallan
  • S. J. W. Evans
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 57)

Abstract

Mixture models can arise in a variety of situations. For example, in [3], a two component mixture model was fitted to grouped, truncated data using the EM algorithm when analysing the volume of red blood cells. Aitkin, [1], has considered the analysis of mixture distributions using the EM algorithm in GLIM. The motivation for the present work is the analysis of birthweight, which various studies have analysed by assuming a predominantly Normal distributions but with additional births in the tail - an obvious application of some form of mixture distribution; see, for example Ashford et al.,[5].

Keywords

Mixture Model Mixture Distribution Normal Mixture Normal Mixture Model Additional Birth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • A. J. Scallan
    • 1
  • S. J. W. Evans
    • 2
  1. 1.School of Mathematics and StatisticsLancashire PolytechnicLancashireUK
  2. 2.Department of Clinical EpidemiologyThe London Hospital Medical CollegeLondonUK

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