residual diagnostics for interpreting cub models

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ID: 249393
2013
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Abstract
CUB models represent a new approach for the analysis of categorical ordinal data. The relevant domain of study is the specification and estimation of the behaviour of respondents when faced to ratings by analysing the relationship among ordinal scores and observed covariates. The increasing use of such models suggests to delve into the issue of appropriate residuals to be used for diagnostic purposes. In fact, the discreteness of the response variable discourages the use of standard regression paradigms. In this context, we propose the extension and implementation of a specific graphical methodology, known as binned residual plots, in order to check the adequacy of fitted CUB models and/or infer about improvements of the maintained model. Such proposals have been exemplified through the analysis of real data.
Reference Key
iorio2013statisticaresidual Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Francesca Di Iorio;Maria Iannario
Journal advances in mathematical physics
Year 2013
DOI
10.6092/issn.1973-2201/3641
URL
http://rivista-statistica.unibo.it/article/view/3641
Keywords
statistics

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