Modified Liu-Type Estimator Based on (r − k) Class Estimator
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Publication:5299076
DOI10.1080/03610926.2011.577552zbMath1298.62112OpenAlexW1985161831MaRDI QIDQ5299076
M. I. Alheety, B. M. Golam Kibria
Publication date: 25 June 2013
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.577552
multicollinearityordinary least squares estimatorLiu estimatormean squares errorordinary ridge regression estimator(\(k\)-\(d\)) class estimator(\(r\)-\(d\)) class estimator(\(r\)-\(k\)) class estimator
Related Items (9)
On some beta ridge regression estimators: method, simulation and application ⋮ Liu-type shrinkage estimations in linear models ⋮ Performance of the almost unbiased ridge-type principal component estimator in logistic regression model ⋮ On the performance of some biased estimators in the gamma regression model: simulation and applications ⋮ The generalized preliminary test estimator when different sets of stochastic restrictions are available ⋮ Modified almost unbiased Liu estimator in linear regression model ⋮ On the weighted mixed Liu-type estimator under unbiased stochastic restrictions ⋮ On the stochastic restricted modified almost unbiased Liu estimator in linear regression model ⋮ Reviving some geometric aspects of shrinkage estimation in linear models
Cites Work
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- Simulation study of new estimators combining the SUR ridge regression and the restricted least squares methodologies
- A new biased estimator based on ridge estimation
- A Simulation Study of Some Ridge Regression Estimators under Different Distributional Assumptions
- Some Modifications for Choosing Ridge Parameters
- On the almost unbiased ridge regression estimator
- On Some Ridge Regression Estimators: An Empirical Comparisons
- A new class of blased estimate in linear regression
- Performance of some new preliminary test ridge regression estimators and their properties
- COMBINING THE LIU ESTIMATOR AND THE PRINCIPAL COMPONENT REGRESSION ESTIMATOR
- Choosing Ridge Parameter for Regression Problems
- Performance of Some New Ridge Regression Estimators
- Using Liu-Type Estimator to Combat Collinearity
- Developing Ridge Parameters for SUR Model
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Ridge Regression: Applications to Nonorthogonal Problems
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