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Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge a
Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems
Probability, Statistics, and Reliability for Engineers and Scientists
Uncertainty Analysis for Engineers and Scientists
Risk Analysis in Engineering and Economics
Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications
Fundamentals of Uncertainty Quantification for Engineers
Uncertainty Quantification
Optimization Under Uncertainty with Applications to Aerospace Engineering
Uncertainty in Risk Assessment
Markov Chains and Decision Processes for Engineers and Managers
Reliability Models for Engineers and Scientists
Design Optimization Under Uncertainty