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A new improved estimator for reducing the multicollinearity effects

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Publication:6050489
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DOI10.1080/03610918.2021.1939374OpenAlexW3176418858MaRDI QIDQ6050489

Issam Dawoud

Publication date: 18 September 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1939374


zbMATH Keywords

simulationmulticollinearityLiu estimatorridge regression estimatornew regression estimatormodified ridge-type estimator


Mathematics Subject Classification ID

Statistics (62-XX)




Cites Work

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  • A new Liu-type estimator in linear regression model
  • Mean squared error matrix comparisons between biased estimators — An overview of recent results
  • A New Two-Parameter Estimator in Linear Regression
  • A Simulation Study of Some Ridge Estimators
  • Ridge regression:some simulations
  • A new class of blased estimate in linear regression
  • On the almost unbiased generalized liu estimator and unbiased estimation of the bias and mse
  • Choosing Ridge Parameter for Regression Problems
  • Performance of Some New Ridge Regression Estimators
  • Performance of Some Weighted Liu Estimators for Logit Regression Model: An Application to Swedish Accident Data
  • The Restricted and Unrestricted Two-Parameter Estimators
  • Ridge Regression: Biased Estimation for Nonorthogonal Problems
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