Bayesian Analysis of Rank Data using SIR

A. K. Laha and S. Dongaonkar

No WP2005-09-06, IIMA Working Papers from Indian Institute of Management Ahmedabad, Research and Publication Department

Abstract: Rank data occurs quite regularly in the context of market research studies, opinion polls, sports, etc. In this paper, we discuss the problem of estimation of the true rank when the rank given by the respondents are subject to error. Various error structures are discussed like, transposition errors, cyclic errors etc. and methods to analyze data with these error structures are derived. Analysis of data with a completely general error structure is also discussed. It is seen that in all the cases considered, the posterior marginal distribution of the true rank can be conveniently obtained using Sampling Importance Resampling (SIR) technique. A real life rank data set is analysed to illustrate the methodology. Note: For softcopy of this paper, please contact the authors - email: arnab@iima.ac.in

Date: 2005-09-06
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:iim:iimawp:wp01905

Access Statistics for this paper

More papers in IIMA Working Papers from Indian Institute of Management Ahmedabad, Research and Publication Department Contact information at EDIRC.
Bibliographic data for series maintained by ().