Author
Yesilova, A, Kaya, Y, Almali, M N
Subject
peer_reviewed
Type
Periodical
Language
Undetermined
Digital
Yes
Manuscript
No
Library
University of Washington
Library Asset ID
ISSN: 1303-9709
Record ID
cdi_proquest_miscellaneous_869591371
Library Location
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Date
Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75
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.
Sample Text
Gazi University Journal of Science, 1901-01, Vol.24 (1), p.69-75
