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Journals / Istatistik Journal of The Turkish Statistical Association / 2026 / Volume: 9 Issue: 2

THE PREDICTION OF THE TWO PARAMETER RIDGE ESTIMATOR

İssam Dawoud
Selahattin Kaçıranlar.
Pages
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Publication Date
2016-06-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also, the theoretical results are illustrated by a numerical example and a regionis established where the 2PR estimator is uniformly superior to the other estimators

📌 3 Key Takeaways

🎯
Objective & Hypothesis:biased estimation procedures have been proposed as an alternative to least squares, there has been little analysis of the predictive performance of the resulting equations.
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Key Findings & Data:Therefore, we discuss the predictive performanceof the Two Parameter Ridge (2PR) estimator compared to ordinary least squares, principal components andridge regression estimators.
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Conclusion & Impact:Also, the theoretical results are illustrated by a numerical example and a regionis established where the 2PR estimator is uniformly superior to the other estimators
🔬Design:Article
📍Scope:Comprehensive Sample
⚙️Variables:Biased estimation · Two Parameter Ridge estimator · Multicollinearity

Abstract

biased estimation procedures have been proposed as an alternative to least squares, there has been little analysis of the predictive performance of the resulting equations. Therefore, we discuss the predictive performanceof the Two Parameter Ridge (2PR) estimator compared to ordinary least squares, principal components andridge regression estimators. Also, the theoretical results are illustrated by a numerical example and a regionis established where the 2PR estimator is uniformly superior to the other estimators

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Cite This Article

Dawoud, İ., Kaçıranlar., S. (2016). THE PREDICTION OF THE TWO PARAMETER RIDGE ESTIMATOR. Istatistik Journal of The Turkish Statistical Association, Volume: 9 Issue: 2. https://ajindex.com/articles/1636491

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References (10)

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