18.440 Probability and Random Variables, Spring 2011
Name
18-440-spring-2011/contents/index.htm
Size
33.83 KB
Format
HTML
Checksum (MD5)
dbf194c130938b8b6159b2b1b3e276cc
Author(s)
Sheffield, Scott
Alternative Title
Probability and Random Variables
Date Issued
June 2011
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
