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Eksik Gözlem Değerlerine Sahip OECD Ülkelerinin Bebek Sağlığı ile İlgili Analizinde Yerine Koyma Yöntemlerinin Kullanılması = Using Imputation Methods in the Analysis of Infant Health Importance for OECD Countries which have Missing Observations

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Author(s): Gamze ÖZEL | Nihal ATA

Journal: Dogus University Journal
ISSN 1302-6739

Volume: 8;
Issue: 2;
Start page: 218;
Date: 2007;
Original page

Keywords: Eksik gözlem | Ortalama yöntemi | Regresyon yöntemi | Çok değişkenli istatistiksel yöntemler | Bebek sağlığı | Missing observation | Mean imputation | Regression imputation | Multivariate statistical method | Infant health

ABSTRACT
In many data sets some value of variables cannot be recorded. In these cases, the analysis is carried on by ignoring the variables which have missing observations but if these observations are important for the research; their extraction causes the loss of information. There are many studies about missing data in factorial designs, ANOVA, sampling survey studies and multivariate analysis, etc. In this paper we used mean imputation and regression imputation methods to estimate missing observations of countries which are the members of OECD. Then by using multivariate statistical methods, classification of countries according to their attention level of infant health and determination of their location in multidimensional space are aimed. Also, depending on the arrangement of Turkey in OECD countries, results are interpreted for Turkey and determined its place in OECD countries.
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