Hoggart, C.J. and Walker, S.G. and Smith, A.F.M. (2003) Bivariate kurtotic distributions of garment fibre data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 52 (3). pp. 323-335. ISSN 0035-9254 .
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| Official URL http://dx.doi.org/10.1111/1467-9876.00407 |
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.
| Item Type: | Article |
|---|---|
| Uncontrolled keywords: | Forensic science • Markov chain Monte Carlo methods • Scale mixtures of normal distribution • Uniform power distribution |
| Subjects: | Q Science > QA Mathematics (inc Computing science) |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics |
| Depositing User: | Judith Broom |
| Date Deposited: | 10 Sep 2008 11:19 |
| Last Modified: | 14 Jan 2010 14:40 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/10575 (The current URI for this page, for reference purposes) |
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