Электронная библиотека (репозиторий) Томского государственного университета

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Source: Stats. 2023. Vol. 6, № 1. P. 30-49
Type: статьи в журналах
Date: 2023
Description: The properties of non-parametric kernel estimators for probability density function from two special classes are investigated. Each class is parametrized with distribution smoothness parameter. One of ... More
Source: Applied methods of statistical analysis. Nonparametric approach - AMSA2015, Novosibirsk, Russia, 14-19 September, 2015 : proceedings of the international workshop. Novosibirsk, 2015. P. 56-63
Type: статьи в сборниках
Date: 2015
Source: Известия высших учебных заведений. Физика. 2015. Т. 58, № 11/2. С. 276-280
Type: статьи в журналах
Date: 2015
Description: In this paper we solve the estimation problem of the drifting parameter of ARARCH(1,1) model with guaranteed accuracy in the mean square sense by sample of fixed size. Cases of known and unknown noise ... More
Source: Stochastic modeling and control. London, 2012. Ch. 2. P. 23-50
Type: статьи в сборниках
Date: 2012
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