Cover Image

Constructing the Nonlinear Regression Models on the Basis of Multivariate Normalizing Transformations

Saved in:

Bibliographic Details
Date:	2018
Main Authors:	N. V. Prykhodko, S. B. Prykhodko
Format:	Article
Language:	English
Published:	2018
Series:	Electronic modeling
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0000988055
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

On the Whittle Estimator of the Parameter of Spectral Density of Random Noise in the Nonlinear Regression Model
by: O. V. Ivanov, et al.
Published: (2015)

Asymptotic normality of M-estimates in the classical nonlinear regression model
by: Ivanov, O. V., et al.
Published: (2008)

On the Whittle Estimator of the Parameter of Spectral Density of Random Noise in the Nonlinear Regression Model
by: Ivanov, O. V., et al.
Published: (2015)

Asymptotic normality of a projective estimator of an infinite-dimensional parameter of nonlinear regression
by: Kukush, A. G., et al.
Published: (1993)

Methods for construction of regression models based on fuzzy data
by: S. V. Yershov, et al.
Published: (2015)

Consistency of M-estimates in general nonlinear regression models
by: Ivanov, A.V., et al.
Published: (2007)

Construction of inverse transformation function of eddy current devices for a multivariable testing
by: Ya. Teterko, et al.
Published: (2011)

On new multivariate cryptosystems with nonlinearity gap
by: V. Ustimenko
Published: (2017)

On new multivariate cryptosystems with nonlinearity gap
by: Ustimenko, V.
Published: (2017)

Systemic approach to modeling and forecasting on the basis of regression models and Kalman filter
by: I. A. Shubenkova, et al.
Published: (2017)

Parameter estimators of nonlinear quantile regression
by: Ivanov, A.V., et al.
Published: (2005)

Correction of nonlinear orthogonal regression estimator
by: Fazekas, I., et al.
Published: (2004)

Correction of nonlinear orthogonal regression estimator
by: Fazekas, L., et al.
Published: (2004)

Asymptotic normality of linear regression parameter estimator in the case of random regressors
by: A. V. Ivanov, et al.
Published: (2016)

The method to construct fuzzy regression model based on LARS for selection of significant features
by: A. L. Erokhin, et al.
Published: (2016)

On the rate convergence to normality of estimates of regression coefficient for associated random fields
by: Koval', T. L.; Коваль Т. Л.; Поліський національний університет, Житомир
Published: (2020)

On the rate of convergence to normality of estimates of regression coefficient for associated random fields
by: T. L. Koval
Published: (2020)

On constructing a switching regression with unknown switching points
by: A. S. Korkhin
Published: (2018)

Asymptotic normality of element-wise weighted total least squares estimator in a multivariate errors-in-variables model
by: Ya. V. Tsaregorodtsev
Published: (2016)

Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
by: Malenko, A.
Published: (2007)

Specific features of modelling rules of monetary policy on the basis of hybrid regression models with a neural component
by: I. H. Lukianenko, et al.
Published: (2014)

Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning
by: Paquianadin, V., et al.
Published: (2024)

Diffusion approximation of statisticalb experiments with persistent nonlinear regression and equilibrium
by: D. V. Koroliuk
Published: (2014)

Asymptotic Expansion of the Moments of Correlogram Estimator for the Random-Noise Covariance Function in the Nonlinear Regression Model
by: O. V. Ivanov, et al.
Published: (2014)

Asymptotic Expansion of the Moments of Correlogram Estimator for the Random-Noise Covariance Function in the Nonlinear Regression Model
by: Ivanov, O. V., et al.
Published: (2014)

Identification of regularized models in the linear regression class
by: V. F. Gubarev, et al.
Published: (2021)

An approximate method of constructing a switching regression with unknown switching points
by: A. S. Korkhin
Published: (2020)

Switching regression construction method in continuous time with unknown switching points
by: P. S. Knopov, et al.
Published: (2020)

Asymptotic properties of M-estimates of parameters in a nonlinear regression model with discrete time and singular spectrum
by: O. V. Ivanov, et al.
Published: (2017)

Asymptotic properties of $M$-estimates of parameters in a nonlinear regression model with discrete time and singular spectrum
by: Ivanov, O. V., et al.
Published: (2017)

On the asymptotic distribution of the Koenker?Bassett estimator for a parameter of the nonlinear model of regression with strongly dependent noise
by: Ivanov, O. V., et al.
Published: (2011)

Large deviations of a correlogram estimator of the random noise covariance function in a nonlinear regression model
by: K. K. Moskvychova
Published: (2016)

Prognostication of the state of population of plants of herb-undershrub layer in forest area on the basis of correlation-regressive model
by: I. M. Kovalenko
Published: (2007)

Construction of Ensemble of Neural Network for Spacecraft Telemetry Multivariate Time Series Forecasting
by: E. E. Marushko, et al.
Published: (2016)

Regression Model of Ecological Backpack Ukrainian Coal
by: Yu. Cherevatskyi, et al.
Published: (2022)

On multivariate public key based on a pair of transformation with density gap
by: V. A. Ustimenko
Published: (2018)

On multivariate public key based on a pair of transformation with density gap
by: Ustimenko, V.A.
Published: (2018)

On correctness of the problems of nonlinear regression in case of monitoring natural and man-made objects
by: V. S. Mostovoj, et al.
Published: (2012)

On correctness of the problems of nonlinear regression in case of monitoring natural and man-made objects
by: Mostovoy, V. S., et al.
Published: (2012)

The Algorithm of Checking for Correctness of Spline Regression Model
by: Yu. Savkina
Published: (2017)