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Uncertainty Modeling and Analysis in Engineering and the Sciences

of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts;

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Modeling Uncertainty In Earth Sciences

Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling;

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Uncertainty Modeling and Analysis in Civil Engineering

) in their decisions at all levels. Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state;

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Modeling and Simulation Based Analysis in Reliability Engineering

. This book gives the latest research advances in the field of modeling and simulation, based on analysis in engineering sciences;

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Modeling and Simulation Based Analysis in Reliability Engineering

. This book gives the latest research advances in the field of modeling and simulation, based on analysis in engineering sciences. Features;

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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM;

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Uncertainty Quantification in Multiscale Materials Modeling

-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling;

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Surrogates

-loop statistical support (focusing on the science), management of dynamic processes, online and real-time analysis, automation, and practical;

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Surrogates

-of-the-loop statistical support (focusing on the science), management of dynamic processes, online and real-time analysis, automation, and;

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Recent Advances in Computational Engineering

, Germany on September 28-29, 2017. The conference is intended to provide an interdisciplinary meeting place for researchers and practitioners;

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Advanced Mathematical Techniques in Science and Engineering

In recent years, mathematical techniques applied to novel disciplines within the science and engineering have experienced extraordinary;

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The Science and Management of Uncertainty

study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this;

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The Science and Management of Uncertainty

study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this;

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Handbook of Engineering Hydrology

modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic data Dam risk and uncertainty, drought indices for;

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Cost Analysis Of Electronic Systems

concepts to form a practical foundation for predicting the cost of electronic products and systems. Various manufacturing cost analysis methods are;

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Recent Trends in Applied Mathematics

students in the fields of applied sciences, mathematics and engineering.;

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Handbook of Research on Modeling, Analysis, and Control of Complex Systems

engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis;

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Reliability and Safety Engineering

uncertainty, so the book includes uncertainty propagation methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer theory and probability;

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Environmental Data Analysis

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern;

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Uncertainty Quantification

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their;

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Modelling Under Risk and Uncertainty

decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical;

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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced;

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Uncertainty Modeling In Finite Element, Fatigue And Stability Of Systems

chapters, leading experts present an overview of the current state of uncertainty modeling, analysis and design of large systems in four major;

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Uncertainty In Risk Assessment

Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making;

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Biomechanics of the Musculoskeletal System

The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the;

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