Descargar Risk assessment and decision analysis with bayesian networks Epub Gratis
  • Autor: VV.AA.
  • Editor: Crc press
  • Los datos publicados: 2013-02-22
  • ISBN: 9781439809105
  • Formato de libro: PDF, Epub, DOCx, TXT
  • Numero de paginas: 524 pages
  • Tamaño del archivo: 36MB
  • Clasificacion:

Sinopsis de Risk assessment and decision analysis with bayesian networks de VV.AA.:

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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Comentarios

Nancie

Gracias tan mucho !!! !

Ianndis

Gracias por el libro, tiene un contenido importante.

Blair

hombre agradable parte!

Stonedragon

Me permite ser relevante para un momento: oh Dios mío, este libro es excepcional !!

Dawnskin

Que bueno, gracias.

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