| dc.contributor.author | Veneziano, Daniele | en_US |
| dc.coverage.temporal | Fall 2004 | en_US |
| dc.date.issued | 2004-12 | |
| dc.identifier | 1.010-Fall2004 | |
| dc.identifier | local: 1.010 | |
| dc.identifier | local: IMSCP-MD5-f1483b7c9222308d5edb4e457bd1c1a0 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/46355 | |
| dc.description.abstract | This 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.language | en-US | en_US |
| dc.rights.uri | Usage 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.subject | statistics | en_US |
| dc.subject | decision analysis | en_US |
| dc.subject | random variables and vectors | en_US |
| dc.subject | uncertainty propagation | en_US |
| dc.subject | conditional distributions | en_US |
| dc.subject | second-moment analysis | en_US |
| dc.subject | system reliability | en_US |
| dc.subject | Bayesian analysis and risk-based decision | en_US |
| dc.subject | estimation of distribution parameters | en_US |
| dc.subject | hypothesis testing | en_US |
| dc.subject | simple and multiple linear regressions | en_US |
| dc.subject | Poisson and Markov processes | en_US |
| dc.title | 1.010 Uncertainty in Engineering, Fall 2004 | en_US |
| dc.title.alternative | Uncertainty in Engineering | en_US |
| dc.type | Learning Object | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | |
