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Journals / Social Sciences / 2010 / Cilt: 5 Sayı: 4

COMBINING RIDGE and LATENT ROOT REGRESSION ESTIMATORS

RIDGE VE LATENT ROOT REGRESYON TAHMYN EDYCYLERYNYN KOMBYNASYONU

Ayşe İşi
Pages
92–102
Publication Date
2010-05-01
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AI Summary & Key Takeaways

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

A new estimator is applied on the example.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, a new class of estimator, which is the combining of the Ordinary Least Squares (OLS), the Ridge Regression (RR) and the Latent Root Regression (LRR) estimators, is introduced.
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Key Findings & Data:In order to be able to identify the new estimator, first of all the estimation equation of Latent Root Regression was shown by matris notation.
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Conclusion & Impact:A new estimator is applied on the example.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:ÇOKLUBA?LANTI · RYDGE REGRESYON · LATENT ROOT REGRESYON

Abstract

In this study, a new class of estimator, which is the combining of the Ordinary Least Squares (OLS), the Ridge Regression (RR) and the Latent Root Regression (LRR) estimators, is introduced. In order to be able to identify the new estimator, first of all the estimation equation of Latent Root Regression was shown by matris notation. A new estimator is applied on the example.

Özet

Bu çaly?mada En Küçük Kareler (EKK), Ridge Regresyon (RR) ve Latent Root Regresyon (LRR) tahmin edicilerinin kombinasyonu olan yeni bir tahmin edici synyfy tanymlandy. Yeni tahmin edici synyfynyn tanymlanabilmesi için öncelikle Latent Root Regresyonun tahmin denklemi matris notasyonuyla gösterildi. Tanymlanan yeni tahmin edici synyfynyn geçerlili?i, bir örnek üzerinde uygulandy.

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Cite This Article

İşi, A. (2010). COMBINING RIDGE and LATENT ROOT REGRESSION ESTIMATORS. Social Sciences, Cilt: 5 Sayı: 4, 92–102. https://doi.org/10.12739/10.12739

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