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The aggregation paradox for statistical rankings and nonparametric tests
Haikady N. Nagaraja,
Shane Sanders
Department of Sport Management
Research output
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Contribution to journal
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Article
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peer-review
2
Scopus citations
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Dive into the research topics of 'The aggregation paradox for statistical rankings and nonparametric tests'. Together they form a unique fingerprint.
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Keyphrases
Aggregation Mechanism
25%
Aggregation Paradoxes
100%
Aggregation Rules
25%
Application Data
25%
Consistent Test
75%
General Questions
25%
Inconsistency
25%
Information Aggregation
25%
Nonparametric
25%
Nonparametric Statistical Test
25%
Nonparametric Test
100%
Ordinal Data
25%
Random Variables
25%
Rank Test
100%
Sign Test
100%
Social Choice
50%
Statistical Ranking
100%
Strong Form
25%
Mathematics
Non-Parametric Statistical Test
25%
Nonparametric Test
100%
Ordinal Data
25%
Parametric
25%
Parametric Test
75%
Random Variable
25%
Sign Test
100%
significance level α
25%
Strong Form
25%
Computer Science
Application Data
33%
Information Aggregation
33%
Parametric Test
100%
Random Variable
33%
Significance Level
33%
Strongest Result
33%
Economics, Econometrics and Finance
Qualitative Method
50%
Ranking Method
100%
Social Welfare Function
100%
Earth and Planetary Sciences
Random Variable
100%