More on the two-parameter estimation in the restricted regression
From MaRDI portal
Publication:2834720
DOI10.1080/03610926.2014.978944zbMath1351.62139OpenAlexW2519812756MaRDI QIDQ2834720
Publication date: 23 November 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.978944
Related Items (1)
Cites Work
- \(r\)-\(k\) class estimator in the linear regression model with correlated errors
- Improvement of the Liu estimator in linear regression model
- A stochastic restricted ridge regression estimator
- Restricted ridge estimation.
- Combining two-parameter and principal component regression estimators
- On the performance of two parameter ridge estimator under the mean square error criterion
- Superiority of ther–kClass Estimator Over Some Estimators In A Linear Model
- On the restrictedr–kclass estimator and the restrictedr–dclass estimator in linear regression
- A stochastic restrictedk–dclass estimator
- A New Two-Parameter Estimator in Linear Regression
- On Some Ridge Regression Estimators: An Empirical Comparisons
- Comment on Ridge Estimation to the Restricted Linear Model
- A new estimator combining the ridge regression and the restricted least squares methods of estimation
- A new class of blased estimate in linear regression
- COMBINING THE LIU ESTIMATOR AND THE PRINCIPAL COMPONENT REGRESSION ESTIMATOR
- Performance of Some New Ridge Regression Estimators
- Linearized Restricted Ridge Regression Estimator in Linear Regression
- Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence
- Ridge Estimation to the Restricted Linear Model
- The Restricted and Unrestricted Two-Parameter Estimators
This page was built for publication: More on the two-parameter estimation in the restricted regression
