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Statistical Analysis In Forensic Science Evidential Values Of Multivariate Physicochemical Data 1st Edition Grzegorz Zadora

  • SKU: BELL-5311100
Statistical Analysis In Forensic Science Evidential Values Of Multivariate Physicochemical Data 1st Edition Grzegorz Zadora
$ 31.00 $ 45.00 (-31%)

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Statistical Analysis In Forensic Science Evidential Values Of Multivariate Physicochemical Data 1st Edition Grzegorz Zadora instant download after payment.

Publisher: Wiley
File Extension: PDF
File size: 15.82 MB
Pages: 336
Author: Grzegorz Zadora, Agnieszka Martyna, Daniel Ramos, Colin Aitken
ISBN: 9780470972106, 9781118763155, 9781118763179, 9781118763186, 9781306118590, 0470972106, 1118763157, 1118763173, 1118763181
Language: English
Year: 2013
Edition: 1

Product desciption

Statistical Analysis In Forensic Science Evidential Values Of Multivariate Physicochemical Data 1st Edition Grzegorz Zadora by Grzegorz Zadora, Agnieszka Martyna, Daniel Ramos, Colin Aitken 9780470972106, 9781118763155, 9781118763179, 9781118763186, 9781306118590, 0470972106, 1118763157, 1118763173, 1118763181 instant download after payment.

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 d.
Abstract: 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.

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