18.440 Probability and Random Variables, Fall 2005

Dudley, R. M. (Richard M.)

Author(s)

Dudley, R. M. (Richard M.)

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Alternative title

Probability and Random Variables

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Abstract

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

2005-12

URI

http://hdl.handle.net/1721.1/49827

Department

Massachusetts Institute of Technology. Department of Mathematics

Other 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

Collections

MIT OCW Archived Courses