Title: Are ordinal models useful for classification? A revised analysis
Authors: Rudolfer, Sm ×
Watson, Pc
Lesaffre, Emmanuel #
Issue Date: 1995
Publisher: Gordon breach sci publ ltd
Series Title: Journal of statistical computation and simulation vol:52 issue:2 pages:105-132
Abstract: This paper describes a simulation study comparing the performance of various ordered and unordered models, in terms of their error rates, to those given by Campbell et al. (1991), but only applying those models which are appropriate to the particular data set generated. By using the exact error rates and only fitting appropriate models, we reach the opposite conclusions to those of Campbell et al. (1991). Furthermore, by generating data sets using other underlying models, we show that models which reflect the underlying data structure perform better than those which do not.
ISSN: 0094-9655
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
× corresponding author
# (joint) last author

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