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2019 | 20 | nr 2 | 173--185
Tytuł artykułu

Efficient Two-Parameter Estimator in Linear Regression Model

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this article, two-parameter estimators in linear model with multicollinearity are considered. An alternative efficient two-parameter estimator is proposed and its properties are examined. Furthermore, this was compared with the ordinary least squares (OLS) estimator and ordinary ridge regression (ORR) estimators. Also, using the mean squares error criterion the proposed estimator performs more efficiently than OLS estimator, ORR estimator and other reviewed two-parameter estimators. A numerical example and simulation study are finally conducted to illustrate the superiority of the proposed estimator. (original abstract)
Rocznik
Tom
20
Numer
Strony
173--185
Opis fizyczny
Twórcy
  • Y C Mahavidyalaya Halkarni, India
Bibliografia
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  • OZKALE, M. R., KACIRANLAR , S., (2007). The restricted and unrestricted two-parameter estimators, Commun. Statist. Theor. Meth., 36, pp. 2707-2725.
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  • WU, J., YANG, H., (2011). Efficiency of an almost unbiased two-parameter estimator in linear regression model, Statistics., 47 (3), pp. 535-545.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171598937

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