Bayesian Approach to identify Masking and Swamping Problems in the Multivariate-Multiple Regression Analysis

Ufuk EKİZ

Makale detayları

Bayesian Approach to identify Masking and Swamping Problems in the Multivariate-Multiple Regression Analysis

Yazarlar:

Ufuk EKİZ

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2006 Vol.19 Issue 2, pp.113-117

Belge Tipi:

Makale

Yayın Tarihi:

3/2010

Belge Dili:

İngilizce

Document ID (Org No.):

2000430107

eISSN:

2147-1762

Özet:

 

  

The Bayesian method developed by Chaloner and Brant to see whether, for instance, the outlier observation is included in the linear model or not, focuses on posterior distributions of realized but unobserved errors [5]. This method has been expanded by Varbanov for the multivariate-multiple regression model in a way to provide analysis opportunities for separate observations in terms of their being an outlier [13]. This study expanded the proposed method by Varbanov to offer the opportunity for analyzing whether observations in groups are an outlier or not. Therefore, it is likely to claim the existence of masking and swamping problems.

 Key Words: Realized but unobserved errors, masking and swamping problems, outlier observation.

 

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Makale detayları

Bayesian Approach to identify Masking and Swamping Problems in the Multivariate-Multiple Regression Analysis

Yazarlar: Ufuk EKİZ

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2006 Vol.19 Issue 2, pp.113-117

Belge Tipi: Makale

Yayın Tarihi: 3/2010

Belge Dili: İngilizce

Document ID (Org No.): 2000430107

eISSN: 2147-1762

Sayı

Yazarlar:

Ufuk EKİZ

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2006 Vol.19 Issue 2, pp.113-117

Belge Tipi:

Makale

Yayın Tarihi:

3/2010

Belge Dili:

İngilizce

Document ID (Org No.):

2000430107

eISSN:

2147-1762