Mathematical Statistics

Catalog description

Events and probabilities, random variables, means and variances, conditioning and independence, the central limit theorem, normal distribution and other important distributions, confidence intervals for one-parametric models, maximum likelihood estimation, conditional probability density functions. Prerequisite(s): graduate standing or permission of department.