The Almon M-estimator for the distributed lag model in the presence of outliers
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Publication:6073582
DOI10.1080/03610918.2021.1931325MaRDI QIDQ6073582
Publication date: 18 September 2023
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Cites Work
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- Mean Square Error Comparisons of the Alternative Estimators For The Distributed Lag Models
- Inference under Heteroscedasticity of Unknown Form Using an Adaptive Estimator
- A Simulation Study of Some Ridge Regression Estimators under Different Distributional Assumptions
- ROBUST RIDGE REGRESSION BASED ON AN M-ESTIMATOR
- Some Properties of the Almon Lag Technique when One Searches for Degree of Polynomial and Lag
- A Comparative Study of Several Robust Estimates of Slope, Intercept, and Scale in Linear Regression
- Tests of regression coefficients under ridge regression models
- Performance of Some New Ridge Regression Estimators
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
- Addressing the distributed lag models with heteroscedastic errors
- Efficiency of Mansson’s method: Some numerical findings about the role of biasing parameter in the estimation of distributed lag model
- The Almon two parameter estimator for the distributed lag models
- Efficient estimation of distributed lag model in presence of heteroscedasticity of unknown form: A Monte Carlo evidence
- Comparisons of the alternative biased estimators for the distributed lag models
- Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence
- Robust Estimation of a Location Parameter
- Robust Estimates of Location: Survey and Advances
- Econometrics
- Robust Statistics
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