Performance of ridge estimator in inverse Gaussian regression model

DOI10.1080/03610926.2018.1481977OpenAlexW2908313144WikidataQ128655716 ScholiaQ128655716MaRDI QIDQ5866118

Zakariya Yahya Algamal

Publication date: 10 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1481977

zbMATH Keywords

Monte Carlo simulationshrinkagemulticollinearityridge estimatorinverse Gaussian regression model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (9)

New ridge estimators in the inverse Gaussian regression: Monte Carlo simulation and application to chemical data ⋮ Two-parameter estimator for the inverse Gaussian regression model ⋮ Principal component ridge type estimator for the inverse Gaussian regression model ⋮ Beta ridge regression estimators: simulation and application ⋮ Modified ridge-type estimator for the inverse Gaussian regression model ⋮ A new biased estimator for the gamma regression model: Some applications in medical sciences ⋮ Performance of ridge estimator in skew-normal mode regression model ⋮ Inverse Gaussian Liu-type estimator ⋮ Two parameter Ridge estimator in the inverse Gaussian regression model

Uses Software

• SIP

Cites Work

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