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18.440 Probability and Random Variables, Fall 2005

Author(s)
Dudley, R. M. (Richard M.)
Thumbnail
Download18-440Fall-2005/OcwWeb/Mathematics/18-440Fall-2005/CourseHome/index.htm (12.80Kb)
Alternative title
Probability and Random Variables
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
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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

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