Modelling and analysing interval data

被引：15
|
作者：
Brito, Paula [1 ]
机构：
[1] Univ Porto, NIAAD, LIACC, Fac Econ, P-4200 Oporto, Portugal
来源：
ADVANCES IN DATA ANALYSIS | 2007年
关键词：
D O I：
10.1007/978-3-540-70981-7_23
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we discuss some issues which arise when applying classical data analysis techniques to interval data, focusing on the notions of dispersion, association and linear combinations of interval variables. We present some methods that have been proposed for analysing this kind of data, namely for clustering, discriminant analysis, linear regression and interval time series analysis.
引用
收藏
页码：197 / 208
页数：12
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