Bivariate kurtotic distributions of garment fibre data

C. J. Hoggart, S. G. Walker and A. F. M. Smith

Journal of the Royal Statistical Society Series C, 2003, vol. 52, issue 3, 323-335

Abstract: Summary. A bivariate and unimodal distribution is introduced to model an unconventionally distributed data set collected by the Forensic Science Service. This family of distributions allows for a different kurtosis in each orthogonal direction and has a constructive rather than probability density function definition, making conventional inference impossible. However, the construction and inference work well with a Bayesian Markov chain Monte Carlo analysis.

Date: 2003
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