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Regression analysis for interval-valued data. (English) Zbl 1026.62073

Kiers, Henk A. L. (ed.) et al., Data analysis, classification, and related methods. Papers from the 7th conference of the International Federation of Classification Societies (IFCS-2000), Namur, Belgium, July 11-14, 2000. Berlin: Springer. Studies in Classification, Data Analysis, and Knowledge Organization. 369-374 (2000).
Summary: When observations in large data sets are aggregated into smaller more manageable data sizes, the resulting classifications of observations invariably involve symbolic data. In this paper, covariance and correlation functions are introduced for interval-valued symbolic data. These and their associated terms are then used to fit linear regression models to such data. The methods are illustrated with an example from cardiology.
For the entire collection see [Zbl 0976.00026].

MSC:

62J05 Linear regression; mixed models
62-07 Data analysis (statistics) (MSC2010)
62J99 Linear inference, regression
62P10 Applications of statistics to biology and medical sciences; meta analysis
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