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Book Categories |
Introduction | ||
I | Ordinary Least Squares | |
1 | The Least Squares Linear Fit | |
2 | The Geometry of Least Squares | |
3 | Partitioned Fit | |
4 | Restricted Least Squares | |
5 | Overview of Ordinary Least Squares | |
II | Linear Regression | |
6 | Linear Unbiased Estimation | |
7 | Variances and Covariances | |
8 | Variances and Covariances of OLS | |
9 | Efficient Estimation | |
10 | Normal Distribution Theory | |
11 | Hypothesis Testing | |
12 | Overview of Linear Regression | |
III | Generalizations of the Linear Model | |
13 | Non-Normal Distribution Theory | |
14 | Maximum Likelihood Estimation | |
15 | ML Asymptotics | |
16 | ML Computation | |
17 | ML Statistical Inference | |
18 | Heteroskedasticity | |
19 | Serial Correlation | |
20 | IV Estimation | |
21 | The Generalized Method of Moments | |
22 | GMM Hypothesis Tests | |
23 | Overview | |
IV | Latent Variable Models | |
24 | Panel Data Models | |
25 | ARMA Time Series Models | |
26 | Simultaneous Equations | |
27 | Discrete Dependent Variables | |
28 | Censored and Truncated Variables | |
29 | Overview | |
App. A. Abbreviations and Acronyms | ||
App. B. Notation | ||
App. C | Linear Algebra and Matrix Theory | |
App. D | Probability | |
App. E. Classical Studies | ||
App. F | Noncentral Distributions | |
App. G | Multivariate Differentiation | |
App. H | Characteristic Functions |
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Add An Introduction to Classical Econometric Theory, In An Introduction to Classical Econometric Theory Paul A. Ruud shows the practical value of an intuitive approach to econometrics. Students learn not only why but how things work. Through geometry, seemingly distinct ideas are presented as , An Introduction to Classical Econometric Theory to your collection on WonderClub |