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Modelling ranks using the inverse hypergeometric distribution

Dipartimento di Scienze Statistiche, Università di Napoli Federico II, Napoli, Italy, angela.delia{at}unina.it

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.

Key Words: inverse hypergeometric distribution • maximum likelihood estimation • model for ranks • preference parameter • rank data

Statistical Modelling, Vol. 3, No. 1, 65-78 (2003)
DOI: 10.1191/1471082X03st047oa


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