We construct an on-line estimator with equidistant design for tracking a smooth function from Stone-Ibragimov-Khasminskii class. This estimator has the optimal convergence rate of risk to zero in sample size. The procedure for setting coefficients of the estimator is controlled by a single parameter and has a simple numerical solution. The off-line version of this estimator allows to eliminate ...

We present a comparison of different depth notions which are appropriate for classical and orthogonal regression with and without intercept. We consider the global depth and tangential depth introduced by Mizera (2002) and the simplicial depth studied for regression in detail at first by Müller (2005). The global depth and the tangential depth are based on quality functions. These quality funct...

Aiming at the problem of insufficient accuracy and timeliness transmission line parameters in grid energy management system (EMS) parameter library, a dynamic optimization method based on grey support vector regression is proposed. Firstly, influence operating conditions meteorological factors changes analyzed. Based this, correlation quantification designed Pearson coefficient, coefficient val...

Abstract Number line estimation has been found to be strongly related mathematical reasoning concurrently and longitudinally. However, the relationship between number might differ according children’s level of performance. This study investigates whether findings from previous studies that show significantly predicting replicate, this holds across several points distribution. Participants inclu...