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Risk Assessment and Decision Analysis with Bayesian Networks

practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian;

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Risk Assessment and Decision Analysis with Bayesian Networks

to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better;

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Data Uncertainty and Important Measures

uncertainty in reliability and risk analysis is proposed and described. Then it is applied on SIS performance assessment and in risk analysis of a;

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Bayesian Decision Analysis

data can be sampled and expert judgements elicited to support this analysis, and when and how an effective Bayesian decision analysis can be;

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Oil and Gas Processing Equipment

accident case studies and its usage along with other conventional risk assessment methods. Aimed at professionals in oil and gas industry, safety;

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Risk Analysis & Control For Industrial P

Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals provides an analysis of current approachesfor;

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Bayesian Networks

provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life;

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Security Risk Assessment

science of adversarial risk analysis, are discussed. The book further stands up for developing and employing dynamic security risk assessments;

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Risk Modeling Asesment & Manag 4Th Edi

Presents systems-based theory, methodology, and applications in risk modeling, assessment, and management This book examines risk analysis;

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Bayesian Networks and Decision Graphs

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical;

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Current Trends in Bayesian Methodology with Applications

latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis;

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Current Trends in Bayesian Methodology with Applications

latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis;

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Bayesian Inference for Probabilistic Risk Assessment

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing;

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Quantitative Risk Assessment

and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific;

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Statistical Decision Theory and Bayesian Analysis

as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes;

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Reliability and Risk

and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think;

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Extreme Value Modeling and Risk Analysis

critical decision and risk assessment/management applications to stimulate more collaboration between these statisticians and specialists.;

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Risk Assessment

Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major;

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Primer on Risk Analysis

decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and;

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Primer on Risk Analysis

decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and;

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Adversarial Risk Analysis

of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk;

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Adversarial Risk Analysis

, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis;

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Inference and Intervention

assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis;

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Inference and Intervention

assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis;

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Principles of Risk-Based Decision Making

in detail and outline available decision analysis and risk assessment tools that aid in each of these risk-based decision making functions. This;

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Development of Clinical Decision Support Systems using Bayesian Networks

For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert;

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Market Research and Modeling: Progress and Prospects

in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional;

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