A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data

Name: A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data
Author: Yesilova, A, Kaya, Y, Almali, M N

İsim	A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data
Yazar	Yesilova, A, Kaya, Y, Almali, M N
Konu	peer_reviewed
Tür	Süreli Yayın
Dil	Belirlenmemiş dil
Dijital	Evet
Yazma	Hayır
Kütüphane:	Washington Üniversitesi
Demirbaş Numarası	ISSN: 1303-9709
Kayıt Numarası	cdi_proquest_miscellaneous_869591371
Lokasyon	Check availability & request options
Tarih	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75
Notlar	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 a 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.
Örnek Metin	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75

Kaynağa git Washington Üniversitesi University of Washington

Aramaya Dön

Washington Üniversitesi

Kaynağa git

A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data

Yazar Yesilova, A, Kaya, Y, Almali, M N

Konu peer_reviewed

Tür Süreli Yayın

Dil Belirlenmemiş dil

Dijital Evet

Yazma Hayır

Kütüphane Washington Üniversitesi

Demirbaş Numarası ISSN: 1303-9709

Kayıt Numarası cdi_proquest_miscellaneous_869591371

Lokasyon Check availability & request options

Tarih Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75

Notlar 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 a 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.

Örnek Metin Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75