Application of Multiple Imputation Method for Missing Data Estimation

Gazel SER

Makale detayları

Application of Multiple Imputation Method for Missing Data Estimation

Yazarlar:

Gazel SER

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2012 Vol.25 Issue 4, pp.869-873

Belge Tipi:

Makale

Yayın Tarihi:

10/2012

Belge Dili:

İngilizce

Document ID (Org No.):

2000429260

eISSN:

2147-1762

Özet:

 


The existence of missing observation in the data collected particularly in different fields of study cause researchers to make incorrect decisions at analysis stage and in generalizations of the results. Problems and solutions which are possible to be encountered at the estimation stage of missing observations were emphasized in this study. In estimating the missing observations, missing observations were assumed to be missing at random  and Markov Chain Monte Carlo technique and multiple imputation method were applied.  Consequently, results of the multiple imputation performed after data set was logarithmically transformed produced the closest result to the original data.   

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Makale detayları

Application of Multiple Imputation Method for Missing Data Estimation

Yazarlar: Gazel SER

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2012 Vol.25 Issue 4, pp.869-873

Belge Tipi: Makale

Yayın Tarihi: 10/2012

Belge Dili: İngilizce

Document ID (Org No.): 2000429260

eISSN: 2147-1762

Sayı

Yazarlar:

Gazel SER

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2012 Vol.25 Issue 4, pp.869-873

Belge Tipi:

Makale

Yayın Tarihi:

10/2012

Belge Dili:

İngilizce

Document ID (Org No.):

2000429260

eISSN:

2147-1762