Nonparametric estimations of regression function and its derivatives in the presence of data admissions
Автор: Sergeeva N.A., Terentyeva E.S.
Журнал: Сибирский аэрокосмический журнал @vestnik-sibsau
Рубрика: Кибернетика, системный анализ, приложения
Статья в выпуске: 5 (31), 2010 года.
Бесплатный доступ
In the article we consider nonparametric methods of estimation of a regression and its derivatives on samplings of random variables with some singularities at their measurement. A bootstrap-method applied to the decision of the passes filling task in incomplete data or elimination of emptiness in space of observations is presented.
H-аппроксимация, nonparametric estimation of a regression, h-approximation, a butstrep-method, nonparametric estimation of a derivative of a regression, convergence of estimations
Короткий адрес: https://sciup.org/148176361
IDR: 148176361
