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Probability & Statistics
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Statistics
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Linear regression models
Least-squares estimation
[
195
/
67%
]
Subtopics
Linear least squares
[
38
/
74%
]
Generalized least squares
[
28
/
57%
]
Computational algorithms for least squares
[
22
/
50%
]
Worked examples of OLS point estimates
[
21
/
76%
]
Algebraic identities and invariance of the OLS fit
[
20
/
60%
]
Estimable functions and less-than-full-rank linear models
[
16
/
100%
]
Least squares under linear restrictions
[
13
/
100%
]
Simple regression mechanics and common misconceptions
[
10
/
80%
]
Asymptotic normality of the least-squares estimator
[
9
/
44%
]
Gauss-Markov theorem
[
6
/
50%
]
Nonlinear regression
[
5
/
20%
]
When ordinary least squares is BLUE with correlated errors
[
4
/
100%
]
Minimax and shrinkage properties of the least-squares estimator
[
3
/
33%
]
Confidence intervals for regression coefficients
[
2
/
100%
]
Least-squares estimates and complete sufficient statistics
[
2
/
0%
]
Missing observations in linear models
[
2
/
100%
]