Sumários
A10
23 Outubro 2018, 10:00 • João Nicolau
4.2.6 Estimating Var (bjX)
4.2.7 The Normality Assumption.
4.2.8 Further Aspects on Residual Regression
4.3 Maximum Likelihood Estimation
4.3.1 The Maximum Likelihood Principle
4.3.2 Conditional versus Unconditional Likelihood
4.3.3 The Log Likelihood for the Regression Model
4.4 Prediction and Forecasting
4.4.1 Prediction in a log Model
4.5 Multicollinearity
A9
18 Outubro 2018, 10:00 • João Nicolau
4.2.3 The Variance of b.
4.2.4 Decomposition of Var (bk).
4.2.5 The Gauss-Marvov Theorem
A8
16 Outubro 2018, 10:00 • João Nicolau
Exercícios cap. 3 (continuação)
4.2 Finite Sample Properties of b
4.2.1 Unbiased Estimation
4.2.2 Bias Caused by Omission of Relevant Variables
4.2.3 The Variance of b.
A7
11 Outubro 2018, 10:00 • João Nicolau
3.3.3 R-Squared and the Constant Term in the Model
3.3.4 Further Comments on R²
Exercícios sobre cap. 3
A6
9 Outubro 2018, 10:00 • João Nicolau
3.2 Partitioned Regression and Partial Regression
3.3 Goodness of Fit
3.3.1 Coefficient of Determination
3.3.2 Adjusted Coefficient of Determination