IMPUTATION AND DELETION METHODS UNDER THE PRESENCE OF MISSING VALUES AND OUTLIERS: A COMPARATIVE STUDY

Onur Toka; Meral Çetin

Makale detayları

IMPUTATION AND DELETION METHODS UNDER THE PRESENCE OF MISSING VALUES AND OUTLIERS: A COMPARATIVE STUDY

Yazarlar:

Onur Toka | Meral Çetin

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2016 Vol.29 Issue 4, pp.799-809

Belge Tipi:

Makale

Yayın Tarihi:

12/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000428610

eISSN:

2147-1762

Özet:

 


Missing data and imputation methods are studied in many disciplines.  However, the methods have some different properties and some constraints according to missingness mechanism. In this paper, we examine some deletion and imputation methods’ behaviors under the presence of outliers. We obtain a mean vector and covariance matrix with missing and contaminated data and compare the results of imputation methods using mean square errors. In second application, we use the regression data and examine the effect of missingness on regression model’s parameters. We compare the imputed values with real values and explain the results of classical and robust imputation methods. 

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Makale detayları

IMPUTATION AND DELETION METHODS UNDER THE PRESENCE OF MISSING VALUES AND OUTLIERS: A COMPARATIVE STUDY

Yazarlar: Onur Toka | Meral Çetin

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2016 Vol.29 Issue 4, pp.799-809

Belge Tipi: Makale

Yayın Tarihi: 12/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000428610

eISSN: 2147-1762

Sayı

Yazarlar:

Onur Toka | Meral Çetin

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2016 Vol.29 Issue 4, pp.799-809

Belge Tipi:

Makale

Yayın Tarihi:

12/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000428610

eISSN:

2147-1762