On estimating the local error of a numerical solution of a parametrized Cauchy problemOn
estimating the local error of a numerical solution of a
parametrized Cauchy problem
Algorithms of parametric estimation of polynomial trend models of time series on discrete transforms. The traditional algorithms of
estimating time series models may be associated with a sufficiently high
Algorithms of parametric estimation of polynomial trend models of time series on discrete transforms. The traditional algorithms of
estimating time series models may be associated with a sufficiently high
Three-photon entangled states generated by spontaneous parametric down-conversion in a cavity parametric down-conversion in a cubic nonlinear medium which is placed in a cavity is analyzed. It is shown
Statistical estimation with possibly incorrect model assumptionsWe combine a consistent (base)
estimator of a population parameter with one or several other
Three-photon entangled states generated by spontaneous parametric down-conversion in a cavity parametric down-conversion in a cubic nonlinear medium which is placed in a cavity is analyzed. It is shown
Full Stability of General Parametric Variational Systems of solutions to three-
parametric variational systems described in the generalized equation formalism involving
Incomplete Least Squared Regression Function Estimator Based on WaveletsIn this paper, we introduce an
estimator of the least squares regression function, for Y right
Robust parametric estimates of heterogeneous experimental data and symmetric outliers. Algorithms for obtaining robust WMLM
estimates are considered at the
parametric level