Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited

K. E. Basford, G. J. Mclachlan and M. G. York

Journal of Applied Statistics, 1997, vol. 24, issue 2, 169-180

Abstract: Izenman and Sommer (1988) used a non-parametric kernel density estimation technique to fit a seven-component model to the paper thickness of the 1872 Hidalgo stamp issue of Mexico. They observed an apparent conflict when fitting a normal mixture model with three components with unequal variances. This conflict is examined further by investigating the most appropriate number of components when fitting a normal mixture of components with equal variances.

Date: 1997
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DOI: 10.1080/02664769723783

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