Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data

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9780470972106: Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data
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A practical guide for determining the evidential value ofphysicochemical data

Microtraces of various materials (e.g. glass, paint, fibres, andpetroleum products) are routinely subjected to physicochemicalexamination by forensic experts, whose role is to evaluate suchphysicochemical data in the context of the prosecution and defencepropositions. Such examinations return various kinds ofinformation, including quantitative data. From the forensic pointof view, the most suitable way to evaluate evidence is thelikelihood ratio. This book provides a collection of recentapproaches to the determination of likelihood ratios and describessuitable software, with documentation and examples of their use inpractice.  The statistical computing and graphics softwareenvironment R, pre-computed Bayesian networks using HuginResearcher and a new package, calcuLatoR, for thecomputation of likelihood ratios are all explored.

Statistical Analysis in Forensic Science will provide aninvaluable practical guide for forensic experts and practitioners,forensic statisticians, analytical chemists, andchemometricians.

Key features include:

  • Description of the physicochemical analysis of forensic traceevidence.
  • Detailed description of likelihood ratio models for determiningthe evidential value of multivariate  physicochemicaldata.
  • Detailed description of methods, such as empiricalcross-entropy plots, for assessing the performance of likelihoodratio-based methods for evidence evaluation.
  • Routines written using the open-source R software, aswell as Hugin Researcher and calcuLatoR.
  • Practical examples and recommendations for the use of all thesemethods in practice. 

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About the Author:

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

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

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Book Description John Wiley and Sons Ltd, United States, 2014. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. 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. Seller Inventory # AAH9780470972106

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Grzegorz Zadora, Agnieszka Martyna, Daniel Ramos,
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Book Description John Wiley and Sons Ltd, United States, 2014. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. 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. Seller Inventory # AAH9780470972106

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