A non-iterative procedure for maximum likelihood estimation of the parameters of mallows' model based on partial rankings-Reference-Cited by-同舟云学术

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

Published:1998-01 Issue:9 Volume:27 Page:2199-2220
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Adkins Laura,Fligner Michael

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1080/03610929808832223

Reference15 articles.

1. Maximum Likelihood Estimation in Mallows’s Model Using Partially Ranked Data

2. Metric Methods for Analyzing Partially Ranked Data

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of ranking data;WIREs Computational Statistics;2019-08-06

2. Smooth Goodness of Fit Tests;A Parametric Approach to Nonparametric Statistics;2018

3. Probability Models for Ranking Data;Statistical Methods for Ranking Data;2014

4. RMallow: Fit Multi-Modal Mallows' Models to Ranking Data;CRAN: Contributed Packages;2012-02-21

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