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File: MIT6_041F10_L06.pdf
This OER is part of OCW: Probabilistic Systems Analysis and Applied Probability
Published under: /Lecture Notes
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Inherited Tag(s):
- electrical engineering and computer science
- probability
- probability models
- bayes rule
- discrete random variables
- continuous random variables
- bernoulli process
- poisson process
- markov chains
- central limit theorem
- statistical inference
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Description:Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept of statistical significance (to be to
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Description:Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept of statistical significance (to be to
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Description:Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept of statistical significance (to be to
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