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Showing 1 to 4 of 4 for “"Mean-Square Errors (MSE)"”.
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Some applications of minimum norm quadratic estimation and eigenvalue-based test for heteroskedasticity
… We derive the analytical expressions for the mean square errors (MSE) of White's (1980), MacKinnon and White's (1985) and MINQU estimators, and perform a numerical comparison. Our results suggest that the bias of White's estimator is the most severely affected by the point of leverage of the …
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Essays on misspecified models
… test statistic converges to a central chi-squared distribution and thus is not adversely affected by local non-exogeneity. Furthermore, the Monte Carlo simulations confirm that our newly proposed test has considerable size improvement over the conventional ones, while their power is not …
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Blood Vessel Segmentation and shape analysis for quantification of Coronary Artery Stenosis in CT Angiography
… of centrelines across vessel bifurcations, the mean square errors (MSE) of the resulting centreline, with respect to the ground truth data, is reduced by an average of 62.3%, when compared with initial estimation obtained using a topological thinning based algorithm.
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Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders
… schemes using maximum likelihood and least mean-square-errors methods under certain criteria, and settle the investment optimization problem in both static and dynamic sense when taking the model as exogenous.