Bridging the gap: A likelihood function approach for the analysis of ranking data

DOI10.1080/03610926.2014.950751zbMath1348.62156OpenAlexW2480691082MaRDI QIDQ2830796

Mayer Alvo

Publication date: 31 October 2016

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

Full work available at URL: https://doi.org/10.1080/03610926.2014.950751

zbMATH Keywords

likelihood functionranking dataKruskal-Wallis testFriedman statisticNeyman smooth testsco-variates

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03)

Related Items (2)

Model fitting using partially ranked data ⋮ Parametric embedding of nonparametric inference problems

Cites Work

• Asymptotic theory for measures of concordance with special reference to average Kendall tau
• Intergroup diversity and concordance for ranking data: An approach via metrics for permutations
• Defining the curvature of a statistical problem (with applications to second order efficiency)
• A general rank based approach to the analysis of block data
• A nonparametric test for interaction in two-way layouts
• A Nonparametric test for the Several Sample Problem

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