| 2. Point estimation |
1. Introduction
2. Properties of the estimators
3. Maximum likelihood estimation
|
| 4. Parametric hypothesis testing |
1. Introduction
2. Tests for normal distributions
3. Tests for proportions
4. Tests for the average of a Poisson distribution |
| 6. Simple linear regression model |
1. Introduction
2. Least square estimators
3. Coefficient of determination (square R)
4. Hypothesis testing and confidence intervals for the parameters of the model
5. Prediction |
