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
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;
Conference_Titel :
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location :
North Falmouth, MA
Print_ISBN :
0-7803-7196-8
DOI :
10.1109/NNSP.2001.943153
