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Eric D. McKinney

Utah State University



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246 – 246 - Data Science

Extensions to the Syrjala Test with Eye-Tracking Data Analysis Applications

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Keywords: Continuous Bivariate Data, Two-Sample, Toroidal Shift, Permutation Test, Eye-Tracking Data

Eric D. McKinney

Utah State University

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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