545 search results - page 1 / 109 » A Dynamic Method for the Evaluation and Comparison of Imputa... |
WCE
2007
13 years 5 months ago
2007
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
DAWAK
2009
Springer
13 years 11 months ago
2009
Springer
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
JSS
2007
13 years 4 months ago
2007
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
MICCAI
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. The automation of segmentation of medical images is an active research area. However, there has been criticism of the standard of evaluation of methods. We have comprehen...
BMCBI
2007
13 years 4 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...