Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ranks01:02

Ranks

585
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
585
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

627
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
627
Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

944
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
944
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.7K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.7K
Kendall's Tau Test01:16

Kendall's Tau Test

1.3K
Kendall's tau test, also known as the Kendall rank coefficient test, is a nonparametric method for assessing association between two variables. This test is particularly useful for identifying significant correlations when the distributions of the sample and population are unknown. Developed in 1938 by the British statistician Sir Maurice George Kendall, the tau coefficient (denoted as τ) serves as a rank correlation coefficient, with values ranging from -1 to +1.
A τ value of +1...
1.3K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

5.0K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
5.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Social Hair Plucking's Associations with Other Behaviors and Its Health Considerations, in Captive Rhesus Macaques (<i>Macaca mulatta</i>).

Journal of applied animal welfare science : JAAWSยท2026
Same author

Wolf Presence Disrupts Seasonal Variation in Hair Cortisol Among Free-Ranging Beef Cattle.

Ecology and evolutionยท2026
Same author

Ethological scars? Exposure to multiple negative events over a lifespan may predict abnormal repetitive behaviour in laboratory-housed rhesus macaques.

Biology lettersยท2026
Same author

The social circumstances of the maternal experience and its biobehavioral associations, in rhesus macaques (Macaca mulatta).

Animal reproduction scienceยท2026
Same author

Establishing a Predictable Cue for Catches to Reduce Reactivity to Management Events for Captive Rhesus Macaques (<i>Macaca mulatta</i>).

Applied animal behaviour scienceยท2026
Same author

Food Distribution, But Not Market Forces, Predict Behavioral Social Tolerance in Rhesus Macaques.

American journal of primatologyยท2025

Related Experiment Video

Updated: Apr 19, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.1K

Systemic testing on Bradley-Terry model against nonlinear ranking hierarchy.

Aaron Shev1, Kevin Fujii1, Fushing Hsieh1

  • 1Department of Statistics, University of California Davis, Davis, California, United States of America.

Plos One
|December 23, 2014
PubMed
Summary

This study introduces a new systemic test for the Bradley-Terry model, enhancing power hierarchy analysis beyond simple win-loss data. The novel approach improves ranking accuracy by considering global patterns in player interactions.

More Related Videos

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.5K

Related Experiment Videos

Last Updated: Apr 19, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.1K
RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.5K

Area of Science:

  • Systems science
  • Network analysis
  • Statistical modeling

Background:

  • Ranking hierarchies are common in human and animal societies.
  • Linear rankings, like the Bradley-Terry model, are widely used but have limitations.
  • Recent work explores non-linear hierarchies using dominance information.

Purpose of the Study:

  • To extend non-linear ranking by incorporating global system patterns.
  • To develop and validate a systemic test for the Bradley-Terry model.
  • To improve the accuracy of power hierarchy construction.

Main Methods:

  • A systems perspective was adopted for hierarchy construction.
  • A novel systemic test statistic was developed.
  • Ensemble-based empirical distributions were used for testing.
  • Comparisons were made with the Deviance test and Chi-squared approximation.

Main Results:

  • The proposed systemic test favorably compares to existing methods.
  • The new test effectively utilizes global pattern information.
  • The approach demonstrated robustness on simulated and real data.

Conclusions:

  • Systemic analysis provides a more comprehensive view of hierarchies.
  • The developed test offers a valuable alternative for analyzing ranking data.
  • This work advances the understanding and modeling of complex social structures.