QML estimators in linear regression models with functional coefficient autoregressive processes
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Publication:980670
DOI10.1155/2010/956907zbMath1189.62111OpenAlexW1995726632WikidataQ58653439 ScholiaQ58653439MaRDI QIDQ980670
Publication date: 29 June 2010
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/227407
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Point estimation (62F10)
Related Items (7)
Bahadur representations of M-estimators and their applications in general linear models ⋮ Weak consistency of M-estimator in linear regression model with asymptotically almost negatively associated errors ⋮ Nonlinear time series: computations and applications ⋮ Two-stage method based on local polynomial fitting for a linear heteroscedastic regression model and its application in economics ⋮ Hypothesis testing in generalized linear models with functional coefficient autoregressive pro\-cesses ⋮ Quasi-maximum likelihood estimators in generalized linear models with autoregressive processes ⋮ Pseudo-maximum likelihood estimators in linear regression models with fractional time series
Cites Work
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- A comparison of minimum MSE and maximum power for the nearly integrated non-Gaussian model
- Testing for unit root processes in random coefficient autoregressive models
- A new stochastic mixed ridge estimator in linear regression model
- A note on monitoring time-varying parameters in an autoregression
- Asymptotic properties of the maximum likelihood estimate in the first order autoregressive process
- On asymptotics of t-type regression estimation in multiple linear model
- Asymptotic properties of quasi-maximum likelihood estimators for ARMA models with time-dependent coefficients
- Functional coefficient autoregressive models for vector time series
- Asymptotic inference for unit roots in spatial triangular autoregression
- Time series: theory and methods
- Large-sample properties of parameter estimates for strongly dependent stationary Gaussian time series
- A local breakdown property of robust tests in linear regression
- Quadratic negligibility and the asymptotic normality of operator normed sums
- Consistent autoregressive spectral estimates
- Strong consistency of least squares estimates in normal linear regression
- A paradox in least-squares estimation of linear regression models
- Asymptotics of R-, MD- and LAD-estimators in linear regression models with long range dependent errors
- Evaluation of forecasts in AR models with outliers
- Fitting time series models to nonstationary processes
- A mixed-type test for linearity in time series
- Adjusted estimates and Wald statistics for the AR(1) model with constant
- The superiority of empirical Bayes estimator of parameters in linear model
- On an autoregressive model with time-dependent coefficients
- Nonasymptotic bounds for autoregressive time series modeling.
- Nonlinear time series. Nonparametric and parametric methods
- Strong convergence of estimators in nonlinear autoregressive models
- Sequential estimation for time series regression models
- Consistency of LS estimates of multiple regression under a lower order moment condition
- Smoothing methods in statistics
- Estimation of the dependence parameter in linear regression with long-range-dependent errors
- Least squares estimation of linear regression models for convex compact random sets
- Asymptotics of regressions with stationary and nonstationary residuals.
- A central limit theorem for quadratic forms in strongly dependent linear variables and its application to asymptotical normality of Whittle's estimate
- The Limiting Distribution of the Serial Correlation Coefficient in the Explosive Case
- REGRESSION, AUTOREGRESSION MODELS
- Weak and strong consistency of the least squares estimators in regression models
- The Limiting Distribution of the Serial Correlation Coefficient in the Explosive Case II
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- The estimation of frequency
- A Note on Regression when There is Extraneous Information about One of the Coefficients
- Asymptotic normality of the Whittle estimator in linear regression models with long memory errors
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