Advanced Search
DSpace@MIT

18.440 Probability and Random Variables, Spring 2011

Research and Teaching Output of the MIT Community

18.440 Probability and Random Variables, Spring 2011

Download
Alternative Title: Probability and Random Variables
Author: Sheffield, Scott
Date Issued: 2011-06
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.
URI: http://hdl.handle.net/1721.1/97467
Other Identifiers: 18.440-Spring2011
local: 18.440
local: IMSCP-MD5-ba28dc671adaf64a55a0ce4355bb2f70
Related To:
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

Show full item metadata

Files in this item

Name Size Format Description
18-440-spring-201 ... 33.83Kb HTML

This item appears in the following Collection(s)

MIT-Mirage