Hoggart, C.J., Walker, Stephen G., 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. (doi:10.1111/1467-9876.00407) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:10575)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| 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 |
|---|---|
| DOI/Identification number: | 10.1111/1467-9876.00407 |
| 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: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
| Depositing User: | Judith Broom |
| Date Deposited: | 10 Sep 2008 11:19 UTC |
| Last Modified: | 05 Nov 2024 09:43 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/10575 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):
Altmetric
Altmetric
