Model Selection in StatisticsExplores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.
Statistics Essentials: The t-testIntroduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.
Estimation CriteriaCovers criteria for estimating parameters, emphasizing the importance of consistency, bias, variance, and efficiency of estimators.