Linear trimmed means for the linear regression with AR(1) errors model
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Publication:989272
DOI10.1016/j.jspi.2010.05.015zbMath1205.62088OpenAlexW2078746959MaRDI QIDQ989272
Publication date: 19 August 2010
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2010.05.015
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35) Monte Carlo methods (65C05)
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Cites Work
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- Generalized and pseudo-generalized trimmed means for the linear regression with AR(1) error model
- The trimmed mean in the linear model
- Symmetric quantiles and their applications
- Trimmed mean and bounded influence estimators for the parameters of the ar(1) process
- Some New Estimation Methods for Weighted Regression When There Are Possible Outliers
- L-Estimation for Linear Models
- Mallows-Type Bounded-Influence-Regression Trimmed Means
- On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
- Trimmed Least Squares Estimation in the Linear Model
- Efficient Bounded-Influence Regression Estimation
- Regression Quantiles
- Symmetric quantile and symmetric trimmed mean for linear regression model
- IV.—On Least Squares and Linear Combination of Observations
- Some Flexible Estimates of Location
- Application of Least Squares Regression to Relationships Containing Auto- Correlated Error Terms