A two-level model for evidence evaluation in the presence of zeros

Journal of Forensic Sciences

Volumn 55, Issue 2, 2010, Pages 371-384

  Zadora, Grzegorz ^a   Neocleous, Tereza ^b   Aitken, Colin ^c  

^a INSTITUTE OF FORENSIC RESEARCH   (Poland)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Evidence evaluation; Forensic science; Graphical models; Likelihood ratio; Missing data; Multivariate data

Indexed keywords

EID: 77649258318     PISSN: 00221198     EISSN: 15564029     Source Type: Journal    
DOI: 10.1111/j.1556-4029.2009.01316.x     Document Type: Article

References (23)

1. Aitken CGG, Zadora G, Lucy D. A two level model for evidence evaluation. J Forensic Sci 2007 52 : 412 419.
2. Aitken CGG, Lucy D, Zadora G, Curran JM. Evaluation of trace evidence for three-level multivariate data with the use of graphical models. Comput Stat Data Anal 2006 50 : 2571 2588.
3. Zieba-Palus J, Zadora G, Milczarek JM, Koscielniak P. Pyrolysis-gas chromatography/mass spectrometry analysis as a useful tool in forensic examination of automotive paint traces. J Chromatogr A 2008 1179 : 41 6.
4. Zieba-Palus J, Zadora G, Milczarek JM, Koscielniak P. Differentiation and evaluation of evidence value of styrene acrylic urethane topcoat car paints analyzed by pyrolysis-gas chromatography. J Chromatogr A 2008 1179 : 47 58.
5. Caddy B. Forensic examination of glass and paint. Boca Raton, FL : CRC Press, 2001.
6. Curran JM, Hicks TN, Buckleton JS. Forensic interpretation of glass evidence. Boca Raton, FL : CRC Press, 2000.
7. Zadora G. Glass analysis for forensic purposes - a comparison of classification methods. J Chemom 2007 21 : 174 186.
8. Hicks TC, Monard Sermier F, Goldmann T, Brunelle A, Champod C, Margot P. The classification and discrimination of glass fragments using non destructive energy dispersive x-ray fluorescence. Forensic Sci Int 2003 137 : 107 118.
9. Trejos T, Almirall JR. Sampling strategies for the analysis of glass fragments LA-ICP-MS part 1: micro-homogeneity study of glass and its application to the interpretation of forensic evidence. Talanta 2005 67 : 388 395.
10. Aitken CGG, Taroni F. Statistics and the evaluation of evidence for forensic scientists. Chichester, U.K. : John Wiley & Sons, 2004.
11. Bishop C.M. Pattern recognition and machine learning. New York : Springer, 2006.
12. Aitken CGG Lucy D. Evaluation of trace evidence in the form of multivariate data. J R Stat Soc Ser C Appl Stat 2004 53 : 109 122.
13. Butler A, Glasbey CA. A latent Gaussian model for compositional data with zeros. J R Stat Soc Ser C Appl Stat 2008 57 : 505 520.
14. Fry J, Fry T, McLaren K. Compositional data analysis and zeros in micro data. Appl Econ 2000 32 : 953 959.
15. Aitchison J, Kay J. Possible solutions of some essential zero problems in compositional data analysis. Girona, Spain : In Compositional Data Analysis Workshop, 2004.
16. Rubin DB. Multiple imputation for nonresponse in surveys. New York : John Wiley & Sons, 1987.
17. Honaker J, King G. What to do about missing values in time-series cross-section data? 2007. http://gking.harvard.edu/files/pr.pdf (accessed January 23, 2009).
18. Honaker J, King G, Blackwell M. Amelia II: a program for missing data. 2007. http://gking.harvard.edu/amelia/ (accessed January 23, 2009).
19. R Development Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2008. ISBN 3-900051-07-0. http://www.R-project.org (accessed January 23, 2009).
20. Whittaker J. Graphical models in applied multivariate statistics. Chichester : John Wiley & Sons, 1990.
21. Zadora G. Classification of glass fragments based on elemental composition and refractive index. J Forensic Sci 2009 54 : 49 59.
22. Silverman BW. Density estimation for statistics and data analysis. London : Chapman and Hall, 1986.
23. Lindley DV. A problem in forensic science. Biometrika 1977 64 : 207 213.