A theorem on CUB models for rank data
Maria Iannario and
Domenico Piccolo ()
Statistics & Probability Letters, 2014, vol. 91, issue C, 27-31
Abstract:
We prove a theorem concerning the parameters of the cub mixture distribution when this random variable is applied for modelling rank data by assuming that the cub distribution is true for each marginal random variable originated by ordering m objects.
Keywords: Rank data; cub models; Ordinal data models (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715214001357
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:91:y:2014:i:c:p:27-31
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2014.04.004
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().