Course Detail
Units:
3.0
Course Components:
Lecture
Description
Probability, conditional probability, distributions, transformation of probability densities, sufficient statistics, limit theorems, estimation principles, maximum likelihood estimation, interval estimation and hypothesis testing, least squares estimation, linear constraints.