Aramaya Dön

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

İsim	A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data
Yazar	Yesilova, A, Kaya, Y, Almali, M N
Tür	Süreli Yayın
Dil	eng,tur
Dijital	Hayır
Yazma	Hayır
Kütüphane:	Harvard Kütüphanesi
Demirbaş Numarası	ISSN: 1303-9709
Kayıt Numarası	TN_cdi_proquest_miscellaneous_869591371
Lokasyon	CHECK ACCESS OPTIONS
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.
Parçası olduğu kaynak	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75
Kaynak	Water Resources Abstracts
Başlık	A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data

Kaynağa git Harvard Kütüphanesi Harvard Kütüphanesi - Osmanlıca el yazması arama motoru

Harvard Kütüphanesi

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

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

Tür Süreli Yayın

Dil eng,tur

Dijital Hayır

Yazma Hayır

Kütüphane Harvard Kütüphanesi

Demirbaş Numarası ISSN: 1303-9709

Kayıt Numarası TN_cdi_proquest_miscellaneous_869591371

Lokasyon CHECK ACCESS OPTIONS

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.

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

Kaynak Water Resources Abstracts

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