Equality of MNC and Aitken Estimations of Linear Regression Model Paper in the Case of Heteroscedastic Deviations
Saved in:
| Date: | 2019 |
|---|---|
| Main Author: | Yu. Savkina |
| Format: | Article |
| Language: | English |
| Published: |
2019
|
| Series: | Mathematical and computer modelling. Series: Physical and mathematical sciences |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001096276 |
| 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 | LibNASSimilar Items
Equality of MNC and Aitken Estimations of Linear Regression Model Paper in the Case of Heteroscedastic Deviations
by: Савкіна, Марта Юріївна
Published: (2019)
by: Савкіна, Марта Юріївна
Published: (2019)
Asymptotic normality of linear regression parameter estimator in the case of random regressors
by: A. V. Ivanov, et al.
Published: (2016)
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)
by: O. V. Ivanov, et al.
Published: (2014)
The Algorithm of Checking for Correctness of Spline Regression Model
by: Yu. Savkina
Published: (2017)
by: Yu. Savkina
Published: (2017)
Large deviations of a correlogram estimator of the random noise covariance function in a nonlinear regression model
by: K. K. Moskvychova
Published: (2016)
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)
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)
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)
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)
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)
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)
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)
by: Ivanov, A.V., et al.
Published: (2007)
Modified orthogonal regression estimator in the quadratic errors-in-variables model
by: Repetatska, G.
Published: (2005)
by: Repetatska, G.
Published: (2005)
Asymptotic normality of M-estimates in the classical nonlinear regression model
by: Ivanov, O. V., et al.
Published: (2008)
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)
by: L. M. Semchyshyn
Published: (2016)
Parameter estimators of nonlinear quantile regression
by: Ivanov, A.V., et al.
Published: (2005)
by: Ivanov, A.V., et al.
Published: (2005)
Correction of nonlinear orthogonal regression estimator
by: Fazekas, I., et al.
Published: (2004)
by: Fazekas, I., et al.
Published: (2004)
Correction of nonlinear orthogonal regression estimator
by: Fazekas, L., et al.
Published: (2004)
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)
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)
by: A. G. Nakonechnyj, et al.
Published: (2021)
Ellipsoid Method for Linear Regression Parameters Determination
by: V. O. Stovba
Published: (2020)
by: V. O. Stovba
Published: (2020)
On optimal planning for the best prediction of the linear regression function
by: Zaigraev , A. Yu., et al.
Published: (1988)
by: Zaigraev , A. Yu., et al.
Published: (1988)
The arctangent regression and the estimation of parameters of the Cauchy distribution
by: I. H. Krykun
Published: (2020)
by: I. H. Krykun
Published: (2020)
Estimates of regression parameters of random fields. II.
by: Leonenko , N. N., et al.
Published: (1992)
by: Leonenko , N. N., et al.
Published: (1992)
Estimates of parameters of random field regressions. I
by: Leonenko , N. N., et al.
Published: (1992)
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)
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)
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)
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)
by: V. Roldugin, et al.
Published: (2018)
The exponential statistical experiments with persistent linear regression and equilibrium
by: D. V. Koroljuk
Published: (2014)
by: D. V. Koroljuk
Published: (2014)
Estimate for deviation of functions from their Fourier sums
by: R. V. Tovkach
Published: (2017)
by: R. V. Tovkach
Published: (2017)
On large deviations in estimation problem with dependent observations
by: Knopov, P.S., et al.
Published: (2005)
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)
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)
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)
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)
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)
by: D. V. Koroliuk
Published: (2015)
Estimates of a group of φ-deviations of analytic functions
by: M. V. Haievskyi, et al.
Published: (2015)
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)
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)
by: Anisimov , V. V., et al.
Published: (1988)
Similar Items
-
Equality of MNC and Aitken Estimations of Linear Regression Model Paper in the Case of Heteroscedastic Deviations
by: Савкіна, Марта Юріївна
Published: (2019) -
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) -
The Algorithm of Checking for Correctness of Spline Regression Model
by: Yu. Savkina
Published: (2017) -
Large deviations of a correlogram estimator of the random noise covariance function in a nonlinear regression model
by: K. K. Moskvychova
Published: (2016)