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Focuses on the recent subfield of decision analysis, ARA    Compares ideas from decision theory and game theory   Uses multi-agent influence diagrams (MAIDs) throughout to help readers visualize complex information structures   Applies the ARA approach to simultaneous games, auctions, sequential games, and defend-attack games   Contains an extended case study based on a real application in railway security, which provides a blueprint for how to perform ARA in similar security situations    Includes exercises at the end of most chapters, with selected solutions at the back of the book   The book shows decision makers how to build Bayesian models for the strategic calculation of their opponents, enabling decision makers to maximize their expected utility or minimize their expected loss. This new approach to risk analysis asserts that analysts should use Bayesian thinking to describe their beliefs about an opponent’s goals, resources, optimism, and type of strategic calculation, such as minimax and level-k thinking. Within that framework, analysts then solve the problem from the perspective of the opponent while placing subjective probability distributions on all unknown quantities. 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Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, likelihoodist, and Bayesian) for trace and other evidence that links individuals to crimes, the modern history and key controversies in the field, and the psychological and legal aspects of such scientific evidence.  Specific topics include uncertainty in measurements and conclusions; statistically valid statements of weight of evidence or source conclusions; admissibility and presentation of statistical findings; and the state of the art of methods (including problems and pitfalls) for collecting, analyzing, and interpreting data in such areas as forensic biology, chemistry, and pattern and impression evidence. The particular types of evidence that are discussed include DNA, latent fingerprints, firearms and toolmarks, glass, handwriting, shoeprints, and voice exemplars.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51296705773841,"sku":"NIN9780367527723","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52433139106065,"sku":"NLS9780367527723","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0367527723.jpg?v=1751390062"},{"product_id":"handbook-of-forensic-statistics-book-david-l-banks-9781138295407","title":"Handbook of Forensic Statistics","description":"Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. 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