Estimation CriteriaCovers criteria for estimating parameters, emphasizing the importance of consistency, bias, variance, and efficiency of estimators.
Inference and Mixed ModelsCovers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.
Interval EstimationCovers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Basics of Linear RegressionCovers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
