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File: ps08.pdf
This OER is part of OCW: Probabilistic Systems Analysis and Applied Probability
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Inherited Tag(s):
- electrical engineering and computer science
- 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 inferenc
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Description: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 techniques, simple random processes and their pro
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Description: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 techniques, simple random processes and their pro
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Description: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 techniques, simple random processes and their pro
1 results found.
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