18.440 Probability and Random Variables, Fall 2005
Author(s)
Dudley, R. M. (Richard M.)
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Alternative title
Probability and Random Variables
Metadata
Show full item recordAbstract
This course introduces students to probability and random variable. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
Date issued
2005-12Other identifiers
18.440-Fall2005
local: 18.440
local: IMSCP-MD5-41ab802d616dffa8d3c3a291f4150c84
Keywords
Probability spaces, random variables, distribution functions, Binomial, geometric, hypergeometric, Poisson distributions, Uniform, exponential, normal, gamma and beta distributions, Conditional probability, Bayes theorem, joint distributions, Chebyshev inequality, law of large numbers, central limit theorem