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This course features a full set of lecture notes and problem sets introducing students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
Date Issued 2003
Resource Type
Format
Audience
Source http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/index.htm
Email Address http://ocw.mit.edu/OcwWeb/jsp/feedback.jsp?Referer=6.041+Probabilistic+Systems+Analysis+and+Appli...
Date Of Record Creation 2005-05-10 14:07:06
Date Of Record Release 2005-05-10 10:26:24
Date Last Modified 2006-06-26 14:59:22
Statistical Topic
Material Type
Author's Name Muriel Medard, John Tsitsiklis, Dimitri Bertsekas
Author's Organization Massachusetts Institute of Technology
Technical Requirements Adobe Acrobat Reader
Source Code Available No
Intended User Role
Application Area
Copyrights
Cost involved with use
Math Level
Date Record Checked: 2005-05-10 00:00:00

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