Bivariate kurtotic distributions of garment fibre data

C. J. Hoggart; S. G. Walker; A. F.M. Smith

doi:10.1111/1467-9876.00407

Bivariate kurtotic distributions of garment fibre data

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

Research output: Contribution to journal › Review article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	323-335
Number of pages	13
Journal	Journal of the Royal Statistical Society. Series C: Applied Statistics
Volume	52
Issue number	3
DOIs	https://doi.org/10.1111/1467-9876.00407
State	Published - 2003

Keywords

Forensic science
Markov chain Monte Carlo methods
Scale mixtures of normal distribution
Uniform power distribution

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10.1111/1467-9876.00407

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KW - Markov chain Monte Carlo methods

KW - Scale mixtures of normal distribution

KW - Uniform power distribution

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Bivariate kurtotic distributions of garment fibre data

Abstract

Keywords

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