Areas:"Civil and Environmental Engineering" tags:" bayesian analysis and risk-based decision"
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Published by: Massachusetts Institute of Technology | Language: English
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This course gives an introduction to probability and statistics, with emphasis on engineering applications. Course topics include events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, uncertainty propagation and conditional analysis. Second-moment representation of unc
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Published by: Massachusetts Institute of Technology | Language: English
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This class covers quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, random processes, statistics, and decision analysis are covered, along with random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. System reliability is introduced.
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