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].
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© 1989 Springer-Verlag Berlin Heidelberg
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Scallan, A.J., Evans, S.J.W. (1989). Application of Truncated and Mixture Distributions to Comparisons of Birthweight. In: Decarli, A., Francis, B.J., Gilchrist, R., Seeber, G.U.H. (eds) Statistical Modelling. Lecture Notes in Statistics, vol 57. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3680-1_31
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DOI: https://doi.org/10.1007/978-1-4612-3680-1_31
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