A non-iterative procedure for maximum likelihood estimation of the parameters of mallows' model based on partial rankings

DOI10.1080/03610929808832223zbMath0918.62016OpenAlexW2166934077MaRDI QIDQ4216589

Laura Adkins, Michael A. Fligner

Publication date: 24 January 1999

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929808832223

zbMATH Keywords

ranking modelspermutation data

Mathematics Subject Classification ID

Point estimation (62F10) Statistical ranking and selection procedures (62F07)

Cites Work

• Metric methods for analyzing partially ranked data
• NON-NULL RANKING MODELS. I
• A Note on Average Tau as a Measure of Concordance