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Activity Number:
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246
- Data Science
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Type:
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Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Section on Statistical Computing
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Abstract #317787
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Title:
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Extensions to the Syrjala Test with Eye-Tracking Data Analysis Applications
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Author(s):
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Eric D. McKinney* and Jürgen Symanzik
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Companies:
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Utah State University and Utah State University
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Keywords:
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Continuous Bivariate Data;
Two-Sample;
Toroidal Shift;
Permutation Test;
Eye-Tracking Data
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Abstract:
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A series of generalized versions of the Syrjala (1996) two-sample test of distributional equality are proposed. The new tests makes use of both rotations and toroidal shifts of the data. Additionally, the tests exhibit stability across a variety of explored test statistics. While computationally more complex, simulations establish the test which employs both rotations and toroidal shifts as a more powerful and conservative choice over its predecessor. This test is then applied to eye-tracking data that originates from the Utah State University Posture Study.
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Authors who are presenting talks have a * after their name.
