Statistical Analysis in Forensic Science: Evidential Values of Multivariate Physicochemical Data - Couverture rigide

Zadora, Grzegorz; Martyna, Agnieszka; Ramos, Daniel; Aitken, Colin

 
9780470972106: Statistical Analysis in Forensic Science: Evidential Values of Multivariate Physicochemical Data
Couverture rigide
ISBN 10 : 0470972106 ISBN 13 : 9780470972106
Editeur : John Wiley & Sons Inc, 2014

Synopsis

A practical guide for determining the evidential value of physicochemical data

Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored.

Statistical Analysis in Forensic Science will provide an invaluable practical guide for forensic experts and practitioners, forensic statisticians, analytical chemists, and chemometricians.

Key features include:

  • Description of the physicochemical analysis of forensic trace evidence.
  • Detailed description of likelihood ratio models for determining the evidential value of multivariate physicochemical data.
  • Detailed description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence evaluation.
  • Routines written using the open-source R software, as well as Hugin Researcher and calcuLatoR.
  • Practical examples and recommendations for the use of all these methods in practice.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Grzegorz Zadora, Institute of Forensic Research, Krakow, Poland.

Daniel Ramos, Telecommunication Engineering, Universidad Autonoma de Madrid, Spain.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
John Wiley & Sons Inc
Date d'édition
2014
Langue
anglais
ISBN 10 
0470972106
ISBN 13 
9780470972106
Reliure
Relié
Nombre de pages
336
Coordonnées du fabricant
non disponible
Personne responsable
non disponible