2. Point estimation |
1. Introduction.
2. Properties of the estimators.
3. Maximum likelihood estimation.
4. Moments method.
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4. Parametric hypothesis testing |
1. Introduction.
2. Tests for normal distributions.
3. Tests for proportions.
4. Tests for the mean 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. |