Bounded-Influence Regression Estimation for Mixture Experiments

Orkun COŞKUNTUNCEL

Makale detayları

Bounded-Influence Regression Estimation for Mixture Experiments

Yazarlar:

Orkun COŞKUNTUNCEL

Yayıncı:

Mersin University

Ana Başlıklar:

Eğitim

Dergi:

Mersin University Journal of the Faculty of Education 2018 Vol.14 Issue 3, pp.1020-1037

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000557240

Sıklık:

Üç Yıllık

eISSN:

1306-7850

Özet:

 

Ordinary
Least Squares (OLS) estimator is widely used technique for estimating the
regression coefficient in mixture experiments. But this estimator is very
sensitive to outliers and/or multicollinearity problems. The aim of this paper
is to propose estimators for the regression parameters of a mixture model that
can combat with the above problems. For this purpose, Generalized M (GM)
estimation, which is more resistant to outliers in the y and / or x directions
and regression estimators such as ridge and Liu, which is effective against the
multicollinearity, were used together. The Mean Square Error (MSE) properties
of proposed estimator has been examined and shown to be smaller than biased and
GM estimates. Also performance of the combined estimator is illustrated by
examples.

Makale detayları

Bounded-Influence Regression Estimation for Mixture Experiments

Yazarlar: Orkun COŞKUNTUNCEL

Yayıncı: Mersin University

Ana Başlıklar: Eğitim

Dergi: Mersin University Journal of the Faculty of Education 2018 Vol.14 Issue 3, pp.1020-1037

Belge Tipi: Makale

Yayın Tarihi: 12/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000557240

Sıklık: Üç Yıllık

eISSN: 1306-7850

Sayı

Yazarlar:

Orkun COŞKUNTUNCEL

Yayıncı:

Mersin University

Ana Başlıklar:

Eğitim

Dergi:

Mersin University Journal of the Faculty of Education 2018 Vol.14 Issue 3, pp.1020-1037

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000557240

Sıklık:

Üç Yıllık

eISSN:

1306-7850