Ordinal and symbolic data analysis

Ordinal and symbolic data analysis

Ordinal and Symbolic Data

Ordinal longitudinal data analysis

Growth data and longitudinal data in general are often of an ordinal nature. For example, developmental stages may be classified into ordinal categories and behavioral variables repeatedly measured by discrete ordinal scales. Consider the data set presented in Table 15.1. This table contains information on marijuana use taken from five annual waves (1976–80) of the National Youth Survey (Elliot...

Ordinal symbolic analysis and its application to biomedical recordings.

Ordinal symbolic analysis opens an interesting and powerful perspective on time-series analysis. Here, we review this relatively new approach and highlight its relation to symbolic dynamics and representations. Our exposition reaches from the general ideas up to recent developments, with special emphasis on its applications to biomedical recordings. The latter will be illustrated with epilepsy ...

Hierarchical clustering of modal ordinal symbolic data objects

The problem of analyzing the dispersion of a set of objects described by ordinal modal symbolic data is addressed in order to obtain homogeneous groups, which are evaluated by a consensus measure. Based on a generalized φ function a consensus measure for objects and for sets of objects described by modal ordinal data is defined. A variability measure for sets of subsets of objects based in the ...