On the rate of convergence to normality of estimates of regression coefficient for associated random fields
Saved in:
| Date: | 2020 |
|---|---|
| Main Author: | T. L. Koval |
| Format: | Article |
| Language: | English |
| Published: |
2020
|
| Series: | Applied problems of mechanics and mathematics |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001237341 |
| 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
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)
by: Koval', T. L.; Коваль Т. Л.; Поліський національний університет, Житомир
Published: (2020)
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)
Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss
by: Hong-Bing Qiu, et al.
Published: (2015)
by: Hong-Bing Qiu, et al.
Published: (2015)
On the rate of convergence in the invariance principle for weakly dependent random variables
by: A. K. Mukhamedov
Published: (2022)
by: A. K. Mukhamedov
Published: (2022)
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)
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)
by: O. V. Ivanov, et al.
Published: (2014)
Estimates for the convergence rate in the limit theorem for extreme values of regenerative processes
by: O. K. Zakusylo, et al.
Published: (2020)
by: O. K. Zakusylo, et al.
Published: (2020)
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)
Estimation of the rate of convergence to the limit distribution of the number of false solutions of a system of nonlinear random Boolean equations that has a linear part
by: Masol, V., et al.
Published: (2007)
by: Masol, V., et al.
Published: (2007)
Constructing the Nonlinear Regression Models on the Basis of Multivariate Normalizing Transformations
by: N. V. Prykhodko, et al.
Published: (2018)
by: N. V. Prykhodko, et al.
Published: (2018)
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)
Estimates of the rate of pointwise and uniform convergence for branched continued fractions with nonequivalent variables
by: D. I. Bodnar, et al.
Published: (2019)
by: D. I. Bodnar, et al.
Published: (2019)
Statistical experiments with persistent linear regression in the Markov random medium
by: D. V. Koroliuk
Published: (2015)
by: D. V. Koroliuk
Published: (2015)
The conflict redistribution of a resource space: the estimation of rate convergence for measures of occupied territories
by: I. V. Veryhina, et al.
Published: (2016)
by: I. V. Veryhina, et al.
Published: (2016)
The arctangent regression and the estimation of parameters of the Cauchy distribution
by: I. H. Krykun
Published: (2020)
by: I. H. Krykun
Published: (2020)
The Convergence Rate of the Third and the Fourth Moments
by: Ya. I. Yeleyko, et al.
Published: (2017)
by: Ya. I. Yeleyko, et al.
Published: (2017)
Rate of convergence for Szász-Bézier operators
by: Gupta Vijay
Published: (2005)
by: Gupta Vijay
Published: (2005)
The Convergence Rate of the Third and the Fourth Moments
by: Yeleyko, Ya.I., et al.
Published: (2017)
by: Yeleyko, Ya.I., et al.
Published: (2017)
Exact rates in the Davis–Gut law of iterated logarithm for the first moment convergence of independent identically distributed random variables
by: X.-Y. Xiao, et al.
Published: (2017)
by: X.-Y. Xiao, et al.
Published: (2017)
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)
Convergence rates in regularization for the case of monotone perturbations
by: Nguen Byong
Published: (2000)
by: Nguen Byong
Published: (2000)
Modified orthogonal regression estimator in the quadratic errors-in-variables model
by: Repetatska, G.
Published: (2005)
by: Repetatska, G.
Published: (2005)
Density of Eigenvalues of Random Normal Matrices with an Arbitrary Potential, and of Generalized Normal Matrices
by: Etingof, P., et al.
Published: (2007)
by: Etingof, P., et al.
Published: (2007)
Asymptotic properties of the method of empirical estimate for non-stationary random fields
by: D. A. Gololobov
Published: (2018)
by: D. A. Gololobov
Published: (2018)
A note on convergence to stationarity of random processes with immigration
by: A. V. Marynych
Published: (2015)
by: A. V. Marynych
Published: (2015)
On uniform convergence of wavelet expansions of some random processes
by: Perestyuk, M.
Published: (2006)
by: Perestyuk, M.
Published: (2006)
Nonlinear normalization of random evolution in the scheme of Levy approximation
by: O. A. Yarova
Published: (2018)
by: O. A. Yarova
Published: (2018)
The behavior of generator normalization factor in approximation of random processes
by: O. A. Jarova, et al.
Published: (2016)
by: O. A. Jarova, et al.
Published: (2016)
Effect of temporal randomization on the interaction of normalized and anomalous transport
by: Stanislavsky, A.A.
Published: (2007)
by: Stanislavsky, A.A.
Published: (2007)
On weak convergence of stochastic differential equations with irregular coefficients
by: I. H. Krykun
Published: (2023)
by: I. H. Krykun
Published: (2023)
Level set of the asymptotic rate of convergence of the method of steepest descent
by: P. F. Zhuk
Published: (2022)
by: P. F. Zhuk
Published: (2022)
The normal limit distribution of the number of false solutions of a system of nonlinear random equations in the field GF(2)
by: Masol, V.I., et al.
Published: (2006)
by: Masol, V.I., et al.
Published: (2006)
Random walks on finite groups converging after finite number of steps
by: Vyshnevetskiy, A. L., et al.
Published: (2018)
by: Vyshnevetskiy, A. L., et al.
Published: (2018)
Random walks on finite groups converging after finite number of steps
by: Vyshnevetskiy, A.L., et al.
Published: (2008)
by: Vyshnevetskiy, A.L., et al.
Published: (2008)
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)
On the Square-Integrable Measure of the Divergence of Two Nuclear Estimations of the Bernoulli Regression Functions
by: P. K. Babilua, et al.
Published: (2015)
by: P. K. Babilua, et al.
Published: (2015)
The methodological approaches to the estimation of convergent development of the regions
by: Ya. Benovska, et al.
Published: (2013)
by: Ya. Benovska, et al.
Published: (2013)
Convergence of two-term differential operators with generalized functions in coefficients
by: A. S. Gorjunov, et al.
Published: (2013)
by: A. S. Gorjunov, et al.
Published: (2013)
Estimation of banks by national rating agencies
by: Ya. Hrudzevych
Published: (2017)
by: Ya. Hrudzevych
Published: (2017)
Similar Items
-
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) -
Asymptotic normality of linear regression parameter estimator in the case of random regressors
by: A. V. Ivanov, et al.
Published: (2016) -
Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss
by: Hong-Bing Qiu, et al.
Published: (2015) -
On the rate of convergence in the invariance principle for weakly dependent random variables
by: A. K. Mukhamedov
Published: (2022) -
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)