Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physi
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Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physi. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. Key features include Statistical Analysis in Forensic Science by Agnieszka Martyna, Daniel Ramos, Grzegorz Zadora, Colin Aitken. Statistical Analysis in Forensic Science by Agnieszka Martyna, Daniel Ramos, Grzegorz Zadora, Colin Aitken Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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 description of likelihood ratio models for determining the evidential value of multivariate physicochemical description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence written using the open-source R software, as well as Hugin Researcher and examples and recommendations for the use of all these methods in practice. Details ISBN 0470972106 ISBN-13 9780470972106 Title Statistical Analysis in Forensic Science Author Agnieszka Martyna, Daniel Ramos, Grzegorz Zadora, Colin Aitken Format Hardcover Year 2014 Pages 336 Edition 1st Publisher John Wiley & Sons Inc GEItemID:78373068; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
