Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Risk Assessment and Decision Analysis with Bayesian Networks

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Fenton, Norman; Neil, Martin; 作者
譯者
2012-11 出版日期
524 頁數
$ 90.34 價格
叢書系列
9781439809105 圖書編碼

Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 圖書標籤: Bayesian  風險  評估  with  and  Risk  Networks  Decision   


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Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 著者簡介


Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Risk Assessment and Decision Analysis with Bayesian Networks 在線電子書 圖書描述

Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models. Keeping the body of the text free of intimidating mathematics, the book provides pragmatic advice about model building to ensure models are built efficiently. A dedicated website, www.BayesianRisk.com, contains executable versions of all of the models described, exercises and worked solutions for all chapters, PowerPoint slides, numerous other resources, and a free downloadable copy of the AgenaRisk software.

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