We propose some ratio-type variance estimators using ratio estimators for the population mean in literature. We obtain mean square error (MSE) equations of proposed estimators and...
Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
— In this paper, the Nonlinear Least-Squares (NLS) estimator for frequency offset in flat-fading channels is systematically derived. A simple interpolation technique is introduc...
Pakorn Ubolkosold, Gustave Franck Tchere, Stefan K...
In this paper, a cascade discrete-continuous state estimator on a partial order is proposed and its existence investigated. The continuous state estimation error is bounded by a mo...