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[MATH 5639 Actuarial Loss Models] Lecture 41: Ch12.1 Moment and quantile matching methods
Lecture 43B: Estimation Methods 1 -7 with R demonstrations
Lecture 42A: Estimation Methods 1 -3
Lecture 45A: Estimation Methods 2 -2
Lecture 45B: Estimation Methods 2 -3
Lecture 1 - part (b) - estimation theory
Lecture 43A: Estimation Methods 1 -6 with R demonstrations
Lecture 44A: Estimation Methods 1 -8
Lecture 44C: Estimation Methods 2 -1
Lesson 41 : Example 2
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Last Updated: September 29, 2026
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Summary
Predictions, Residuals, Goodness of least square, R2 measure, Adjusted R2 . Properties of LS estimator, Prediction error. Consistency of OLS estimator, Confidence interval of LS Prediction error, R Demonstration. Choice of weights, Forgetting factors, Heteroskedastic errors. Non-linear least square, Gauss newton R Demonstration, OLS properties. Residuals, Properties of OLS estimator, Weighted least square, Weighting matrix, Cholesky factorization.