6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Fall 2002

6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Fall 2002

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Modeling, quantification, and analysis of uncertainty. 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. Interpretations, applications...

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Bibliographic Details
Main Authors: Medard, Muriel, Tsitsiklis, John N., Bertsekas, Dimitri P., Abou Faycal, Ibrahim C. (Ibrahim Chafik)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Learning Object
Language:en-US
Published: 2002
Subjects:
probabilistic systems
probabilistic systems analysis
applied probability
uncertainty
uncertainty modeling
uncertainty quantification
analysis of uncertainty
uncertainty analysis
sample space
random variables
transform techniques
simple random processes
probability distribution
Markov process
limit theorem
statistical inference
6.041
6.431
Probabilities
Online Access:http://hdl.handle.net/1721.1/35860

Internet

http://hdl.handle.net/1721.1/35860

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