Bivariate kurtotic distributions of garment fibre data

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.

[1]  Mark F. J. Steel,et al.  Model comparison of coordinate-free multivariate skewed distributions with an application to stochastic frontiers , 2004 .

[2]  Mark F. J. Steel,et al.  Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions , 2004 .

[3]  James Robertson Microspectrophotometry/Colour Measurement , 1999 .

[4]  Adrian F. M. Smith,et al.  On Robust Bayesian Analysis for Location and Scale Parameters , 1999 .

[5]  S. Walker The uniform power distribution , 1999 .

[6]  L. Tierney Markov Chains for Exploring Posterior Distributions , 1994 .

[7]  Claude Roux,et al.  Forensic Examination of Fibres , 1992 .

[8]  Adrian F. M. Smith,et al.  The Evaluation of Fibre Transfer Evidence in Forensic Science: A Case Study in Statistical Modelling , 1991 .

[9]  Takeaki Kariya,et al.  LBI tests for multivariate normality in exponential power distributions , 1991 .

[10]  Adrian F. M. Smith,et al.  Bayesian computation via the gibbs sampler and related markov chain monte carlo methods (with discus , 1993 .

[11]  M. West On scale mixtures of normal distributions , 1987 .

[12]  Ian W. Evett,et al.  Bayesian Inference and Forensic Science: Problems and Perspectives , 1987 .

[13]  Ian W. Evett,et al.  Evaluation of the likelihood ratio for fibre transfer evidence in criminal cases , 1987 .

[14]  Ian W. Evett A Quantitative Theory for Interpreting Transfer Evidence in Criminal Cases , 1984 .

[15]  G. J. Chamberlin,et al.  Colour, its measurement, computation, and application , 1980 .

[16]  Allan H. Seheult,et al.  On a problem in forensic science , 1978 .

[17]  David Lindley,et al.  A problem in forensic science , 1977 .

[18]  G. C. Tiao,et al.  Bayesian inference in statistical analysis , 1973 .