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:
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Daniel Ramos, Telecommunication Engineering, Universidad Autonoma de Madrid, Spain.
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Descrizione libro hardback. Condizione: New. Language: ENG. Codice articolo 9780470972106
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Descrizione libro Condizione: New. Codice articolo 8804327-n
Descrizione libro Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. This book provides the methods and software to enable statisticians and forensic experts to work effectively with evidence evaluation methods. It also covers a collection of recent likelihood ratio (LR) approaches, explores suitable software toolboxes, and includes documentation and examples about how to use them in practice. Codice articolo B9780470972106
Descrizione libro Condizione: New. pp. 336. Codice articolo 96162844