Statistics
2024
10
- Probability and Statistics Exercises: Sampling Distributions, Estimation, and Statistics
- Multivariate Statistics Introduction: Random Vectors, Covariance Matrices, and Multivariate Normal Distributions
- Generalized Linear Regression: Categorical Predictors, Dummy Variables, and Fixed Effects
- Univariate Financial Time Series Analysis: Asset Returns, ARCH/GARCH Effects, and Volatility Modeling
- Logistic Regression: Binary Responses, Linear Probability Models, and Logit Models
- Experimental Design Methods: ANOVA, one-factor experiments, and multi-factor experiments
- Linear Time Series Analysis: Stationarity, ARMA, and ARIMA Multivariate Statistical Analysis: Discriminant Analysis, PCA, and Factor Analysis
- Statistical Forecasting: Qualitative Methods, Quantitative Methods, and Error Evaluation Statistical Decision Theory: Risk, Uncertainty, and Multi-Objective Decisions