18.440 Probability and Random Variables, Spring 2009

Dudley, Richard

Author(s)

Dudley, Richard

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Alternative title

Probability and Random Variables

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Abstract

This course introduces students to probability and random variables. 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

2009-06

URI

http://hdl.handle.net/1721.1/74130

Department

Massachusetts Institute of Technology. Department of Mathematics

Other identifiers

18.440-Spring2009

local: 18.440

local: IMSCP-MD5-bd91d927b4fb01a8348ded6cc50c1ea1

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, and central limit theorem.

Collections

MIT OCW Archived Courses