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1.Introduction to the matrix formulation of econometrics.mp4

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1.Introduction to the matrix formulation of econometrics.mp4
MP4 2 years ago 40.02 MB
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2.The matrix formulation of econometrics - example.mp4
MP4 2 years ago 34.18 MB
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3.How to differentiate with respect to a vector - part 1.mp4
MP4 2 years ago Get Size
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4.How to differentiate with respect to a vector - part 2.mp4
MP4 2 years ago 20.74 MB
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5.How to differentiate with respect to a vector - part 3.mp4
MP4 2 years ago 4.69 MB
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6.Ordinary Least Squares Estimators - derivation in matrix form - part 1.mp4
MP4 2 years ago 20.33 MB
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11.Expectations and variance of a random vector - part 3.mp4
MP4 2 years ago 10.38 MB
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12.Expectations and variance of a random vector - part 4.mp4
MP4 2 years ago 3.77 MB
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13.Least Squares as an unbiased estimator - matrix formulation.mp4
MP4 2 years ago 4.20 MB
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14.Variance of Least Squares Estimators - Matrix Form.mp4
MP4 2 years ago 6.80 MB
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15.The Gauss-Markov Theorem proof - matrix form - part 1.mp4
MP4 2 years ago 12.42 MB
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16.The Gauss-Markov Theorem proof - matrix form - part 2.mp4
MP4 2 years ago 17.02 MB
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21.Geometric intepretation of least squares - orthogonal projection.mp4
MP4 2 years ago 4.87 MB
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22.Geometric interpretation of Least Squares geometrical derivation of estimator.mp4
MP4 2 years ago 3.95 MB
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23.Orthogonal Projection Operator in Least Squares - part 1.mp4
MP4 2 years ago 4.29 MB
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24.Orthogonal Projection Operator in Least Squares - part 2.mp4
MP4 2 years ago 4.72 MB
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25.Orthogonal Projection Operator in Least Squares - part 3.mp4
MP4 2 years ago 7.14 MB
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26.Estimating the error variance in matrix form - part 1.mp4
MP4 2 years ago 6.10 MB
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31.Estimating the error variance in matrix form - part 6.mp4
MP4 2 years ago 24.42 MB
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32.Proof that the trace of Mx is p.mp4
MP4 2 years ago 3.16 MB
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