18.440 Probability and Random Variables, Spring 2009
Name
18-440-spring-2009/contents/index.htm
Size
15.25 KB
Format
HTML
Checksum (MD5)
6063e828d0bf786fed85f3641895cfdd
Author(s)
Dudley, Richard
Alternative Title
Probability and Random Variables
Date Issued
June 2009
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.
Subjects
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.
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Persistent DSpace Link
