Analysis of ranking data

Leung Ho Philip YU, Jiaqi GU, Hang XU

Research output: Contribution to journalArticles

2 Citations (Scopus)

Abstract

Ranking is one of the simple and efficient data collection techniques to understand individuals' perception and preferences for some items such as products, people, and species. Ranking data are frequently collected when individuals are asked to rank a set of items according to a certain preference criterion. Over the years, many statistical models and methods have been developed for analyzing ranking data. This paper will give a literature review of these models and methods and present the recent advances of the analysis of ranking data. Copyright © 2019 Wiley Periodicals, Inc.
Original languageEnglish
Article numbere1483
JournalWiley Interdisciplinary Reviews: Computational Statistics
Volume11
Issue number6
Early online dateAug 2019
DOIs
Publication statusPublished - Nov 2019

Citation

Yu, P. L. H., Gu, J., & Xu, H. (2019). Analysis of ranking data. Wiley Interdisciplinary Reviews: Computational Statistics, 11(6). Retrieved from https://doi.org/10.1002/wics.1483

Keywords

  • Data visualization
  • Probability models
  • Ranking data
  • Statistical inference

Fingerprint Dive into the research topics of 'Analysis of ranking data'. Together they form a unique fingerprint.