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dc.contributor.authorVeneziano, Danieleen_US
dc.coverage.temporalFall 2004en_US
dc.date.issued2004-12
dc.identifier1.010-Fall2004
dc.identifierlocal: 1.010
dc.identifierlocal: IMSCP-MD5-f1483b7c9222308d5edb4e457bd1c1a0
dc.identifier.urihttp://hdl.handle.net/1721.1/46355
dc.description.abstractThis undergraduate class serves as an introduction to probability and statistics, with emphasis on engineering applications. The first segment discusses events and their probability, Bayes' Theorem, discrete and continuous random variables and vectors, univariate and multivariate distributions, Bernoulli trials and Poisson point processes, and full-distribution uncertainty propagation and conditional analysis. The second segment deals with second-moment representation of uncertainty and second-moment uncertainty propagation and conditional analysis. The final segment covers random sampling, point and interval estimation, hypothesis testing, and linear regression. Many of the concepts covered in class are illustrated with real-world examples from various areas of engineering.en_US
dc.languageen-USen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.subjectstatisticsen_US
dc.subjectdecision analysisen_US
dc.subjectrandom variables and vectorsen_US
dc.subjectuncertainty propagationen_US
dc.subjectconditional distributionsen_US
dc.subjectsecond-moment analysisen_US
dc.subjectsystem reliabilityen_US
dc.subjectBayesian analysis and risk-based decisionen_US
dc.subjectestimation of distribution parametersen_US
dc.subjecthypothesis testingen_US
dc.subjectsimple and multiple linear regressionsen_US
dc.subjectPoisson and Markov processesen_US
dc.title1.010 Uncertainty in Engineering, Fall 2004en_US
dc.title.alternativeUncertainty in Engineeringen_US


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