COMPARISONS OF SOME BIASED ESTIMATORS FOR LINEAR MEASUREMENT ERROR MODELS

Gülesen ÜSTÜNDAĞ ŞİRAY; Caner İNCEKAŞ

doi:https://doi.org/10.18038/estubtda.659093

Makale detayları

COMPARISONS OF SOME BIASED ESTIMATORS FOR LINEAR MEASUREMENT ERROR MODELS

Yazarlar:

Gülesen ÜSTÜNDAĞ ŞİRAY | Caner İNCEKAŞ

Yayıncı:

Eskisehir Technical University

Ana Başlıklar:

Astronomi ve ilgili bilimler

Dergi:

Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 2020 Vol.21 Issue 3, pp.421-435

Belge Tipi:

Makale

Yayın Tarihi:

9/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000416906

pISSN:

2667-4211

DOI:

https://doi.org/10.18038/estubtda.659093

Özet:

 

Measurement errors are very often come upon in data analysis. Classical statistical methods become disadvantageous and ordinary least squares estimator of parameters turns into inconsistent and biased, in the existence of measurement errors in the data. Although some methods are used, the performances of them are not good enough in the presence of multicollinearity and measurement errors in the data, simultaneously. That’s why researchers have been inquiring about the estimation of the parameters if the measurement error models have multicollinearity, lately. Especially, biased estimation techniques have been researched in the existence of multicollinearity for measurement error models recently. In this paper, the ridge and Liu estimation approaches to the measurement error models in the existence of multicollinearity are investigated. The comparisons of the biased estimators’ performances are analyzed theoretically and numerically.

Makale detayları

COMPARISONS OF SOME BIASED ESTIMATORS FOR LINEAR MEASUREMENT ERROR MODELS

Yazarlar: Gülesen ÜSTÜNDAĞ ŞİRAY | Caner İNCEKAŞ

Yayıncı: Eskisehir Technical University

Ana Başlıklar: Astronomi ve ilgili bilimler

Dergi: Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 2020 Vol.21 Issue 3, pp.421-435

Belge Tipi: Makale

Yayın Tarihi: 9/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000416906

pISSN: 2667-4211

DOI: https://doi.org/10.18038/estubtda.659093

Sayı

Yazarlar:

Gülesen ÜSTÜNDAĞ ŞİRAY | Caner İNCEKAŞ

Yayıncı:

Eskisehir Technical University

Ana Başlıklar:

Astronomi ve ilgili bilimler

Dergi:

Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 2020 Vol.21 Issue 3, pp.421-435

Belge Tipi:

Makale

Yayın Tarihi:

9/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000416906

pISSN:

2667-4211

DOI:

https://doi.org/10.18038/estubtda.659093