AN APPLICATION OF HOT DECK IMPUTATION AND SUBSTITUTION METHODS IN THE ESTIMATION OF MISSING DATA

Abdullah YEŞİLOVA; Yilmaz KAYA; M. ALMALI

Article Details

AN APPLICATION OF HOT DECK IMPUTATION AND SUBSTITUTION METHODS IN THE ESTIMATION OF MISSING DATA

Authors:

Abdullah YEŞİLOVA | Yilmaz KAYA | M. ALMALI

Publisher:

Gazi University

Journal:

Gazi University Journal of Science 2011 Vol.24 Issue 1, pp.69-75

Document Type:

Article

Publication Date:

1/2011

Document Language:

English

Document ID (Org No.):

2000429716

eISSN:

2147-1762

Abstract:

 


It is of great importance to obtain data in an accurate and incomplete way for adequate conclusions to be drawn from investigations conducted. Due to various reasons, certain parts of an investigation might not be observed, and as a result of this, data might be missing and obtained incompletely. Missing value may not only be based on single variable but also a multitude of variables. In this study, missing data in different proportions and belonging to more than a variable were produced. When data were considered within a context which is missing completely at random, Hot Deck imputation, random Hot Deck imputation and substitution methods (mean, median) were compared in the estimation of missing value. As a result of analysis, Hot Deck imputation method was found to be more effective in the estimation of missing value.

Key Words: Missing data, Hot Deck imputation, Substitution methods.

.

Article Details

AN APPLICATION OF HOT DECK IMPUTATION AND SUBSTITUTION METHODS IN THE ESTIMATION OF MISSING DATA

Authors: Abdullah YEŞİLOVA | Yilmaz KAYA | M. ALMALI

Publisher: Gazi University

Journal: Gazi University Journal of Science 2011 Vol.24 Issue 1, pp.69-75

Document Type: Article

Publication Date: 1/2011

Document Language: English

Document ID (Org No.): 2000429716

eISSN: 2147-1762

Issues

Authors:

Abdullah YEŞİLOVA | Yilmaz KAYA | M. ALMALI

Publisher:

Gazi University

Journal:

Gazi University Journal of Science 2011 Vol.24 Issue 1, pp.69-75

Document Type:

Article

Publication Date:

1/2011

Document Language:

English

Document ID (Org No.):

2000429716

eISSN:

2147-1762