On the Whittle Estimator of the Parameter of Spectral Density of Random Noise in the Nonlinear Regression Model
Saved in:
| Date: | 2015 |
|---|---|
| Main Authors: | O. V. Ivanov, V. V. Prykhodko |
| Format: | Article |
| Language: | English |
| Published: |
2015
|
| Series: | Ukrainian Mathematical Journal |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000788529 |
| 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 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)
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)
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)
by: Ivanov, O. V., et al.
Published: (2014)
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)
by: Ivanov, O. V., et al.
Published: (2011)
Parameter estimators of nonlinear quantile regression
by: Ivanov, A.V., et al.
Published: (2005)
by: Ivanov, A.V., et al.
Published: (2005)
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)
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)
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)
Estimating the spectral density of flicker noise of low-noise oscillators at infra-low frequencies
by: V. M. Konovalov, et al.
Published: (2022)
by: V. M. Konovalov, et al.
Published: (2022)
ESTIMATING THE SPECTRAL DENSITY OF FLICKER NOISE OF LOW-NOISE OSCILLATORS AT INFRA-LOW FREQUENCIES
by: Konovalov, V. M., et al.
Published: (2023)
by: Konovalov, V. M., et al.
Published: (2023)
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)
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)
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)
by: O. V. Ivanov, et al.
Published: (2017)
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)
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)
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)
by: Ivanov, O. V., et al.
Published: (2017)
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)
Asymptotic normality of a projective estimator of an infinite-dimensional parameter of nonlinear regression
by: Kukush, A. G., et al.
Published: (1993)
by: Kukush, A. G., et al.
Published: (1993)
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 arctangent regression and the estimation of parameters of the Cauchy distribution
by: I. H. Krykun
Published: (2020)
by: I. H. Krykun
Published: (2020)
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)
On the rate of convergence to normality of estimates of regression coefficient for associated random fields
by: T. L. Koval
Published: (2020)
by: T. L. Koval
Published: (2020)
Current Estimation of Informative Parameters of a Signal with Random Initial Phase and Amplitude on a Noise Background
by: Ryabuha, V. P., et al.
Published: (2013)
by: Ryabuha, V. P., et al.
Published: (2013)
Estimation of the Rounding Error of the Algorithm for Calculating the Estimate of the Spectral Density
by: O. M. Kolomys
Published: (2019)
by: O. M. Kolomys
Published: (2019)
Estimation of the Rounding Error of the Algorithm for Calculating the Estimate of the Spectral Density
by: Коломис, Олена Миколаївна
Published: (2019)
by: Коломис, Олена Миколаївна
Published: (2019)
Method of noise-robust estimation of parameters of autoregressive model in frequency domain
by: V. K. Zadiraka, et al.
Published: (2021)
by: V. K. Zadiraka, et al.
Published: (2021)
Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
by: Malenko, A.
Published: (2007)
by: Malenko, A.
Published: (2007)
Estimation of the Rounding Error of the Algorithm for Calculating the Primary Estimate of the Spectral Density
by: O. M. Kolomys
Published: (2017)
by: O. M. Kolomys
Published: (2017)
Technologies for early monitoring of technical objects using the estimates of noise distribution density
by: T. A. Aliev, et al.
Published: (2019)
by: T. A. Aliev, et al.
Published: (2019)
Software computer modeling of non-gaussian parameter estimation of correlated random processes
by: V. V. Palahin, et al.
Published: (2014)
by: V. V. Palahin, et al.
Published: (2014)
Spectral approach to white noise analysis
by: Berezansky, Yu. M., et al.
Published: (1994)
by: Berezansky, Yu. M., et al.
Published: (1994)
Density-dependent analytical equations of radiation shielding parameters for super alloys by linear regression analysis
by: M. Aygun, et al.
Published: (2023)
by: M. Aygun, et al.
Published: (2023)
Estimation of Parameters of Homogeneous Gaussian Random Fields
by: Kozachenko, Yu. V., et al.
Published: (2000)
by: Kozachenko, Yu. V., et al.
Published: (2000)
Statistical experiments with persistent linear regression in the Markov random medium
by: D. V. Koroliuk
Published: (2015)
by: D. V. Koroliuk
Published: (2015)
Methods for Statistical Signal Parameters Estimation in Non-Gaussian Correlated Noise
by: D. O. Smirnov, et al.
Published: (2021)
by: D. O. Smirnov, et al.
Published: (2021)
Modified orthogonal regression estimator in the quadratic errors-in-variables model
by: Repetatska, G.
Published: (2005)
by: Repetatska, G.
Published: (2005)
Algorithm for Calculating Primary Spectral Density Estimates Using FFT and Analysis of its Accuracy
by: O. M. Kolomys, et al.
Published: (2022)
by: O. M. Kolomys, et al.
Published: (2022)
Local trajectory parameters estimation and detection of moving targets in Rayleigh noise
by: Prokopenko, I.G., et al.
Published: (2014)
by: Prokopenko, I.G., et al.
Published: (2014)
Similar Items
-
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 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) -
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) -
Parameter estimators of nonlinear quantile regression
by: Ivanov, A.V., et al.
Published: (2005)