Evaluating R&R of ordinal classifications with CUB model

Laura Deldossi, Diego Zappa, 27494, DI ECONOMIA FACOLTA', MILANO - Dipartimento di Scienze statistiche, FINANZIARIE E ASSICURATIVE FACOLTA' DI SCIENZE BANCARIE

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

Abstract

The CUB model is a class of model for ordinal data obtained as a mixture distribution. It is adopted to assess the reliability of categorical measurement in several and different contexts, such as marketing and sensometrics. One of the main opportunities of this model is to include subjects’ covariates in its probability structure. Motivated by the work of De Mast and Van Wieringen (2010), in this paper we propose to modify the CUB model in order to define Repeatability and Reproducibility indexes (R&R) for ordinal data in business and industry framework.
Lingua originaleEnglish
pagine (da-a)89-92
Numero di pagine4
RivistaQUADERNI DI STATISTICA
Volume14
Stato di pubblicazionePubblicato - 2012

Keywords

  • measurement system analysis
  • ordinal data

Fingerprint

Entra nei temi di ricerca di 'Evaluating R&R of ordinal classifications with CUB model'. Insieme formano una fingerprint unica.

Cita questo