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The development of a selenocentric satellite simulation navigation system by means of the lunar surface model

Andreev A., Demina N., Hudec R., Nefediev L., Nefedyev Y.

celestial bodies too. The estimation of data produced is performed by means of the adaptive regression

Regression of Experimental Data Using an Orthogonalized Polynomial

Topor O.I., Belov A.A., Borodachev L.V.

Abstract: A quantitative comparison is made between two regression algorithms based

Адаптивное эффективное оценивание функции в гетероскедастичной регрессии

Пчелинцев, Евгений Анатольевич, Перелевский, Святослав Сергеевич

Adaptive efficient estimation for a function in heteroscedastic regression

Оценивание параметров регрессии с зависимыми шумами

Повзун, Мария Анатольевна, Пчелинцев, Евгений Анатольевич

Estimating parameters in a regression model with dependent noises

Dependence Between Mortality In Regions And Prevalence Of Active Sars-Cov-2 Carriers And Resources Available To Public Healthcare Organizations

regression model that could be used as a basis for estimating regional mortality caused by COVID-19 as well

Does monetary integration lead to income convergence in Africa? a study of the CFA monetary area

Ndao S., Nenovsky N., Tochkov K.

1960–2011. In particular, we use a combination of parametric and non-parametric methods to study

Heavy tails and asymmetry of returns in the Russian stock market

Ankudinov A., Ibragimov R., Lebedev O.

© 2017 Elsevier B.V. The paper presents the robust estimates of tail indices for financial returns

Kernel Target Alignment Parameter: A New Modelability Measure for Regression Tasks

Marcou G., Horvath D., Varnek A.

(KTA) parameter can efficiently be used to estimate the relevance of molecular descriptors for QSAR

Forecasting the enterprise tax base through regression of one-dimensional time series

Kadochnikova E., Erina T., Margushova A.

and regression models with dummy variables to account for additive and multiplicative seasonality. On a sample

Регрессионный анализ в прогнозировании стоимости коллекционных монет

Амельченя, М. А.

the use of regression analysis to predict the value of collectible coins.The use of the linear regression

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