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Sociocognitive Foundations of Educational Measurement

assessment arguments, validity, fairness, interactive assessment, and a conception of measurement in educational assessment. Classical test theory;

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Sociocognitive Foundations of Educational Measurement

assessment arguments, validity, fairness, interactive assessment, and a conception of measurement in educational assessment. Classical test theory;

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Bayesian Networks in Educational Assessment

innovative educational assessments. Part I develops Bayes nets' foundations in assessment, statistics, and graph theory, and works through the real;

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Bayesian Psychometric Modeling

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified;

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Bayesian Psychometric Modeling

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a;

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Oil and Gas Processing Equipment

, the application of Bayesian Networks (BNs) to risk assessment offers a different probabilistic version of causal reasoning. Introducing;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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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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Bayesian Networks

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility;

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Risk Assessment and Decision Analysis with Bayesian Networks

Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains;

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Data Uncertainty and Important Measures

. The application to system reliability assessment illustrates the concept. In the second part, evidential networks as a new tool to model;

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Probabilistic Methods for Bioinformatics

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability;

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Advanced Methodologies for Bayesian Networks

This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks;

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Bayesian Networks

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Modeling and Reasoning with Bayesian Networks

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive;

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Modeling and Reasoning with Bayesian Networks

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive;

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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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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

knowing anything about the learner who uses the system, a system would behave in exactly the same way for all learners. Bayesian Networks for;

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Bayesian Networks Handbook

A Bayesian network is also known as a Bayes network, belief network or causal probabilistic network. Bayesian belief networks are effective;

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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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Bayesian Statistics for the Social Sciences

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and;

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Bayesian Networks for Reliability Engineering

This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN;

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Bayesian Decision Analysis

Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis;

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Hybrid Strategies for Improving Bayesian Networks

intelligence techniques; with Bayesian networks standing as one of the most prominent, when considering the easiness of knowledge interpretation;

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Bayesian Inverse Problems

. Understand Bayesian methods including filtering techniques, Bayesian networks, etc., and their use in engineering systems analysis. Learn to;

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Bayesian Inference for Gene Expression and Proteomics

of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as;

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