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On parameter estimation of the hidden Ornstein-Uhlenbeck processThis paper considers parameter estimation in the Ornstein–Uhlenbeck process observed
Sequential fixed accuracy estimation for nonstationary autoregressive processes for the unknown parameters based on the least squares (LS) method. The sequential estimates use p stopping rules
The robust method for selenophysical parameters estimations© SGEM2019. This work focuses on the practical results of determining selenophysical parameters
Asymptotic expansion of the coverage probability of James-stein estimators on the noncentrality parameter r2 as in the case of risks of these estimators. The new approach (which is different
Direct estimation of SIR model parameters through second-order finite differences the observed data, we try to estimate the parameters that determine the model. For this, we propose a least
A simple method to extract spectral parameters using fractional derivative spectrometry is the high variance of the spectral parameters to be estimated. This is due to the overlapping of individual
Асимтотические свойства и робастность оценок урезанных вариантов стандартного отклонения и среднего абсолютных отклонений гауссовской модели с масштабным засорением. In the work, various estimates of the scale parameter
FUZZY MINIMAX ESTIMATION, we show that the error estimates of the model parameters are minimax for unbiased estimation
ELEMENTAL ESTIMATION OF OPERATORS’ PSYCHOPHYSIOLOGICAL STATE IN MAN-MACHINE CONTROLE SYSTEMSA problems of operators’ psychophysiological parameters estimation in man-machine systems
Algorithms of parametric estimation of polynomial trend models of time series on discrete transforms of estimation algorithms of polynomial trend models' parameters of time series. Algorithms evaluate polynomial
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