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Nonparametric estimation of net premium functionals for different statuses in collective life insuranceThe nonparametric estimators of net premiums in collective models of insurance for the different

Adaptive efficient estimation for generalized semi‑Markov big data models Process 22:187-231, 2019a). For such models we consider estimation problems in nonparametric setting

Дисперсионные характеристики статических моделей стохастических объектов concerning optimized parameters. It is shown that the nonparametric estimation of regression is close

Robust semiparametric and semi-nonparametric estimates of inhomogeneous experimental dataA weighted maximum likelihood method (WMLM) of robust estimation of experimental data with outliers

Using robust regression methods for improve the accuracy of the estimating of observational models parameters
the ordinary least squares estimation method (LSE, OLS), a computational scheme of RA, and its generalizations

Adaptive algorithm of classifcation on the missing data. Computational procedures are based on non-parametric estimation, are given their settings and the results

Comparative analysis of methods for simulating the well operation with electric submersible pump installations of the Rosenblatt–Parzen non-parametric regression, parametric models with automatic adaptation of parameters

On Non-parametric Models of Multidimensional Non-inertial Processes with Dependent input Variables. Components of the input vector are stochastically related, and this relationship is unknown a priori

Semiparametric and semi-nonparametric estimates of the kinetic energy in the atmospheric boundary layer from minisodar measurementsBased on the semiparametric and semi-nonparametric algorithms developed by the authors, the kinetic

Comparative analysis of methods for simulating the well operation with electric submersible pump installations constructed with the help of the Rosenblatt-Parzen non-parametric regression, parametric models with automatic

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