A relevant issue for validating models is the assessment of goodness-of-fit and related measures of predictive ability. When data are nominal, and specifically ordinal, the main problem is the absence of a standard paradigm as in the regression framework for residual variability; in fact, several measures have been proposed. In this contribution we explore fitting measures for ordinal data when these are modelled by a mixture distribution. Some new indexes are evaluated and a comparison with previous proposals is performed by means of simulated and real data sets.

Fitting measures for ordinal data models / Iannario, Maria. - In: QUADERNI DI STATISTICA. - ISSN 1594-3739. - STAMPA. - 11:(2009), pp. 39-72.

Fitting measures for ordinal data models

IANNARIO, MARIA
2009

Abstract

A relevant issue for validating models is the assessment of goodness-of-fit and related measures of predictive ability. When data are nominal, and specifically ordinal, the main problem is the absence of a standard paradigm as in the regression framework for residual variability; in fact, several measures have been proposed. In this contribution we explore fitting measures for ordinal data when these are modelled by a mixture distribution. Some new indexes are evaluated and a comparison with previous proposals is performed by means of simulated and real data sets.
2009
Fitting measures for ordinal data models / Iannario, Maria. - In: QUADERNI DI STATISTICA. - ISSN 1594-3739. - STAMPA. - 11:(2009), pp. 39-72.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/374020
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