Cover Image

Equality of MNC and Aitken Estimations of Linear Regression Model Paper in the Case of Heteroscedastic Deviations

At the paper in the case of heteroscedastic independent deviations a linear regression model whose function has the form where and unknown parameters, is studied. Approximate values (observations) of functions are registered at equidistant points of the segment We formulate Theorem 1, which giv...

Full description

Saved in:

Bibliographic Details
Date:	2019
Main Author:	Савкіна, Марта Юріївна
Format:	Article
Language:	Ukrainian
Published:	Кам'янець-Подільський національний університет імені Івана Огієнка 2019
Online Access:	http://mcm-math.kpnu.edu.ua/article/view/174206
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Mathematical and computer modelling. Series: Physical and mathematical sciences

Institution

Mathematical and computer modelling. Series: Physical and mathematical sciences

Similar Items

Equality of MNC and Aitken Estimations of Linear Regression Model Paper in the Case of Heteroscedastic Deviations
by: Yu. Savkina
Published: (2019)

Алгоритм перевірки на коректність моделі сплайнової регресії
by: Савкіна, Марта Юріївна
Published: (2017)

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

Asymptotic properties of the estimator of linear regression parameters in the case of weakly dependent regressors
by: O. V. Ivanov, et al.
Published: (2014)

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

Asymptotic properties of linear regression parameter estimator in the case of long-range dependent regressors and noise
by: A. V. Ivanov, et al.
Published: (2014)

Average quadratic error of the estimate of the first order splines in the model of linear regression
by: Petunina , M. Yu., et al.
Published: (1991)

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

Corrected T(q)-Likelihood Estimator in a Generalized Linear Structural Regression Model with Measurement Errors
by: A. V. Savchenko
Published: (2014)

Corrected $T(q)$-Likelihood Estimator in a Generalized Linear Structural Regression Model with Measurement Errors
by: Savchenko, A. V., et al.
Published: (2014)

Stability estimates for linear stochastic systems with deviating argument of neutral type
by: Bychkov, A. S., et al.
Published: (1993)

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

Modified orthogonal regression estimator in the quadratic errors-in-variables model
by: Repetatska, G.
Published: (2005)

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

The badly conditioned systems of linear equalizations ofalgebra are in the model of Leontev
by: L. M. Semchyshyn
Published: (2016)

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)

Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
by: Klesov, O. I., et al.
Published: (1993)

Minimax root–mean–square estimates of matrix parameters in linear regression problems under uncertainty
by: A. G. Nakonechnyj, et al.
Published: (2021)

Ellipsoid Method for Linear Regression Parameters Determination
by: V. O. Stovba
Published: (2020)

The arctangent regression and the estimation of parameters of the Cauchy distribution
by: I. H. Krykun
Published: (2020)

Estimates of regression parameters of random fields. II.
by: Leonenko , N. N., et al.
Published: (1992)

Estimates of parameters of random field regressions. I
by: Leonenko , N. N., et al.
Published: (1992)

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)

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)

Excitation method in problems of regression of a linear matrix
by: A. G. Nakonechnyj, et al.
Published: (2020)

Multiple linear regression of stock quotes of the Lithuanian enterprises
by: V. Roldugin, et al.
Published: (2018)

The exponential statistical experiments with persistent linear regression and equilibrium
by: D. V. Koroljuk
Published: (2014)

On optimal planning for the best prediction of the linear regression function
by: Zaigraev , A. Yu., et al.
Published: (1988)

Estimate for deviation of functions from their Fourier sums
by: R. V. Tovkach
Published: (2017)

On large deviations in estimation problem with dependent observations
by: Knopov, P.S., et al.
Published: (2005)

Identification of Heredity Kernels of Isotropic Linearly Viscoelastic Materials under Complex Stress State.2.Case of Proportionality of Deviators
by: V. P. Golub, et al.
Published: (2016)

The Case Where the Sum of Three Partial Reflections is Equal to Zero
by: Mellit, A. S., et al.
Published: (2003)

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

Estimates of probabilities of large deviations in problems of estimation of calculated actions. I
by: Bondarev , В. V., et al.
Published: (1991)

Statistical experiments with persistent linear regression in the Markov random medium
by: D. V. Koroliuk
Published: (2015)

Estimates of a group of φ-deviations of analytic functions
by: M. V. Haievskyi, et al.
Published: (2015)

Estimates for a Group of Deviations in Generalized Hölder Metric
by: Lasuriya, R. A., et al.
Published: (2001)

Estimations of deviations of transient characteristics for inhomogeneous Markovian processes
by: Anisimov , V. V., et al.
Published: (1988)