Generalized symmetry models for hypercubicconcordance tables.

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6 Citazioni (Scopus)

Abstract

Frequency data obtained classifying a sample of 'units' by the same categorical variable repeatedly over 'components', can be arranged in a hypercubic concordance table (h.c.t.). This kind of data naturally arises in a number of different areas such as longitudinal studies, studies using matched and clustered data, item-response analysis, agreement analysis. In spite of the substantial diversity of the mechanisms that can generate them, data arranged in a h.c.t. can ail be analyzed via models of symmetry and quasi-symmetry, which exploit the special structure of the h.c.t. The paper extends the definition of such models to any dimension, introducing the class of generalized symmetry models, which provides a unified framework for inference on categorical data that can be represented in a h.c.t.. Within this framework it is possible to derive the common structure which underlies these models and clarify their meaning;their usefulness in applied work is illustrated by a re-analysis of two real examples
Lingua originaleEnglish
pagine (da-a)323-338
Numero di pagine16
RivistaInternational Statistical Review
Volume68
Stato di pubblicazionePublished - 2000

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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