6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005

6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005

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This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniq...

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Detalles Bibliográficos
Main Authors: Bertsekas, Dimitri, Tsitsiklis, John, Médard, Muriel
Outros autores: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formato: Learning Object
Idioma:en-US
Publicado: 2005
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
Acceso en liña:http://hdl.handle.net/1721.1/70858

Internet

http://hdl.handle.net/1721.1/70858

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