Statistical Modelling 3 (2003), 65–78
Modelling ranks using the inverse hypergeometric distribution
Angela D'Elia
Dipartimento di Scienze Statistiche,
Università die Napoli Federic II,
Via L. Rodinò 22
I-80138 Napoli,
Italy.
eMail:
angela.delia@unina.it
Abstract:
A statistical model for ranks is presented, and some results on
its parameter are discussed. In particular, maximum likelihood
inference is developed, with and without covariates; thus, a
statistical model for rank data is introduced in order to link
the expressed ranks to the main features of the raters. Some
empirical evidence from a marketing survey confirms the usefulness
of the proposal in the study of the preferences.
Keywords:
INVERSE HYPERGEOMETRIC DISTRIBUTION; MAXIMUM LIKELIHOOD ESTIMATION;
MODEL FOR RANKS; PREFERENCE PARAMETER; RANK DATA.
Downloads:
Data and
GAUSS code in zipped archive
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