DocumentCode
3373860
Title
Imputating missing values in diary records of sun-exposure study
Author
Szymkowiak, A. ; Philipsen, P.A. ; Larsen, J. ; Hansen, L.K. ; Thieden, E. ; Wulf, H.C.
Author_Institution
Tech. Univ. Denmark, Lyngby, Denmark
fYear
2001
fDate
2001
Firstpage
489
Lastpage
498
Abstract
In a sun-exposure study, questionnaires concerning sun-habits were collected from 195 subjects. This paper focuses on the general problem of missing data values, which occurs when some, or even all of the questions have not been answered in a questionnaire. Here, only missing values of low concentration are investigated. We consider and compare two different models for imputating missing values: the Gaussian model and the non-parametric K-nearest neighbor model
Keywords
Gaussian processes; learning (artificial intelligence); Gaussian model; diary records; imputating missing values; non-parametric K-nearest neighbor model; sun-exposure study; Electronic mail; Hospitals; Humans; Informatics; Iterative methods; Mathematical model; Monte Carlo methods; Parametric statistics; Statistical analysis; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location
North Falmouth, MA
ISSN
1089-3555
Print_ISBN
0-7803-7196-8
Type
conf
DOI
10.1109/NNSP.2001.943153
Filename
943153
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