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Last Updated: September 29, 2026
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Choice of weights, Forgetting factors, Heteroskedastic errors. Non-linear least square, Gauss newton Weighted least square, Weighting matrix, Cholesky factorization. R Demonstration, OLS properties. Consistency of OLS estimator, Confidence interval of LS Properties of LS estimator, Prediction error. Predictions, Residuals, Goodness of least square, R2 measure, Adjusted R2 . Residuals, Properties of OLS estimator, Prediction error, R Demonstration. This is just a few minutes of a complete course. Get full lessons & more subjects at: MathTutorDVD.com.
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