The course covers point estimation for regression coefficients using Ordinary Least Squares, Maximum Likelihood estimation for regression coefficients, and the distribution for the estimator of the slope. The goal is to teach students how to estimate regression coefficients and understand the distribution of the estimator of the slope. The teaching method involves theoretical explanations and mathematical derivations. This course is intended for individuals interested in learning about regression analysis and statistical modeling.
Overview
Syllabus
1. Point Estimation for Regression Coefficients (Ordinary Least Squares).
2. Maximum Likelihood for Regression Coefficients (part 1 of 3).
3. Maximum Likelihood for Regression Coefficients (part 2 of 3).
4. Maximum Likelihood for Regression Coefficients (part 3 of 3).
5. Distribution for the Estimator of the Slope (part 1 of 3).
6. Distribution for the Estimator of the Slope (part 2 of 3).
7. Distribution for the Estimator of the Slope (part 3 of 3).
Taught by
Professor Knudson
