Model Selection in StatisticsExplores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.
Stochastic Processes: ErgodicityCovers the concept of ergodicity in continuous-time stochastic processes and the convergence of statistical properties over time.
Mean-Square-Error InferenceCovers the concept of mean-square-error inference and optimal estimators for inference problems using different design criteria.
Central Tendency and DispersionExplores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.
Statistics Essentials: The t-testIntroduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.
