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Article Details

Article Details

  • Article Code : NWSA-2510-1462
  • Article Type : Araştırma Makalesi
  • Publication Number : 3A0027
  • Page Number : 92-102
  • Doi : 10.12739/
  • Abstract Reading : 1183
  • Download : 149
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Issue Details

  • Year : 2010
  • Volume : 5
  • Issue : 4
  • Number of Articles Published : 5
  • Published Date : 1.10.2010

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Dergi Kapağı
Social Sciences

Serial Number : 3C
ISSN No. : 1308-7444
Release Interval (in a Year) : 4 Issues

RIDGE VE LATENT ROOT REGRESYON TAHMYN EDYCYLERYNYN KOMBYNASYONU

Ayşe İŞİ 1

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.

Keywords
ÇOKLUBA?LANTI, RYDGE REGRESYON, LATENT ROOT REGRESYON, M-K SINIFLI TAHMYN EDYCYLER, HALD`S DATA,

COMBINING RIDGE and LATENT ROOT REGRESSION ESTIMATORS

Ayşe İŞİ 1

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.

Keywords
MULTICOLLINEARITY, RIDGE REGRESSION, LATENT ROOT REGRESSION, M-K CLASS ESTIMATORS, HALD'S DATA,

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Ayşe İŞİ (1) (Corresponding Author)
Gazi Üniversitesi
ayseisi@yahoo.com

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