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Practical Applications of Bayesian Reliability

Demonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides;

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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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Statistical Methods for Reliability Data, Second Edition

comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and;

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Applied Mathematics in Engineering and Reliability

in reliability, risk and engineering, including: - Risk and Reliability Analysis Methods - Maintenance Optimization - Bayesian Methods;

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Statistical Reliability Engineering

field, Statistical Reliability Engineering: Covers all mathematical models for statistical reliability analysis, including Bayesian estimation;

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Bayesian Inverse Problems

Gain a fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications;

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Statistical Paradigms

semi-parametric, frequentist and Bayesian encompassing both theoretical advances and emerging applications in a variety of scientific;

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Structural and System Reliability

systems, simulation methods, time- and space-variant reliability, and Bayesian parameter estimation and reliability updating. It also presents;

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System Reliability Theory Models, Statistical Methods, and Applications, Third Edition Wiley Series in Probability and Statistics

Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical;

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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 Thinking, Modeling and Computation

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application;

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Bayesian Theory and Methods with Applications

Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering;

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Risk Assessment and Decision Analysis with Bayesian Networks

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array;

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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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Modern Statistical And Mathematical Methods In Reliability

activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian;

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Statistical and Mathematical Sciences and Their Applications

techniques for analysis of water quality parameters, Bayesian estimation techniques for lifetime distributions, reliability and life testing;

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Multistate Systems Reliability Theory with Applications

Most books in reliability theory are dealing with a description of component and system states as binary: functioning or failed. However;

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Reliability and Risk

in recent years Bayesian methods have become key to such quantifications. Reliability and Risk provides a comprehensive overview of the mathematical;

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Safety and Reliability Modeling and Its Applications

concepts, including stochastic reliability and Bayesian methods;

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Practical Reliability Engineering

with the latest industry best practices. Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer;

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Bayesian Methods in Reliability

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Flowgraph Models For Multistate Time-To-Event Data

techniques and combine them with data analysis and statistical methods to answer questions of practical interest. Bayesian methods of data analysis;

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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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Bayesian Model Selection and Statistical Modeling

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model;

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Bayesian Applications in Pharmaceutical Development

Provides a comprehensive coverage of Bayesian application across the pharmaceutical development from discovery to post-marketing to;

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