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Are the Sweden Democrats really Sweden’s largest party? : A maximum likelihood ratio test on the simplex

Bergman, Jakob LU orcid and Holmquist, Björn LU orcid (2017) In Statistics and Probability Letters 124. p.64-68
Abstract
We introduce a maximum likelihood ratio test to test if a specific proportion is the greatest in a multinomial situation with a single measurement. The test is based on partitioning the parameter space and utilising logratio transformations.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
isometric logratio transformation, largest party, maximum likelihood ratio test, political polls, polls, Sweden, simplex, 62F03, 62H15, 62P25
in
Statistics and Probability Letters
volume
124
pages
64 - 68
publisher
Elsevier
external identifiers
  • wos:000395210700010
  • scopus:85010684118
ISSN
0167-7152
DOI
10.1016/j.spl.2017.01.006
language
English
LU publication?
yes
id
d3efd5a1-6b7d-4832-99fa-514c9a976257
date added to LUP
2017-01-15 17:35:00
date last changed
2025-10-14 13:00:15
@article{d3efd5a1-6b7d-4832-99fa-514c9a976257,
  abstract     = {{We introduce a maximum likelihood ratio test to test if a specific proportion is the greatest in a multinomial situation with a single measurement. The test is based on partitioning the parameter space and utilising logratio transformations.}},
  author       = {{Bergman, Jakob and Holmquist, Björn}},
  issn         = {{0167-7152}},
  keywords     = {{isometric logratio transformation; largest party; maximum likelihood ratio test; political polls; polls, Sweden; simplex; 62F03; 62H15; 62P25}},
  language     = {{eng}},
  pages        = {{64--68}},
  publisher    = {{Elsevier}},
  series       = {{Statistics and Probability Letters}},
  title        = {{Are the Sweden Democrats really Sweden’s largest party? : A maximum likelihood ratio test on the simplex}},
  url          = {{https://lup.lub.lu.se/search/files/51894366/Max_SPL_rev2.pdf}},
  doi          = {{10.1016/j.spl.2017.01.006}},
  volume       = {{124}},
  year         = {{2017}},
}