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

Title	A Comparison of Hot Deck Imputation and Substitution Methods in The Estimation of Missing Data
Author	Yesilova, A, Kaya, Y, Almali, M N
Type	Periodical
Language	eng,tur
Digital	No
Manuscript	No
Library:	Harvard Library
Library Asset ID	ISSN: 1303-9709
Record ID	TN_cdi_proquest_miscellaneous_869591371
Library Location	CHECK ACCESS OPTIONS
Notes	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

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

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

Type Periodical

Language eng,tur

Digital No

Manuscript No

Library Harvard Library

Library Asset ID ISSN: 1303-9709

Record ID TN_cdi_proquest_miscellaneous_869591371

Library Location CHECK ACCESS OPTIONS

Notes 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