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Activity Number: 411 - Nonparametric Testing
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract #300649 Presentation
Title: Comparison of Rotational Symmetry in Three-Dimensional Rotation Data Through a Permutation Test
Author(s): Melissa Bingham*
Companies: University of Wisconsin-La Crosse
Keywords: Directional data; Three-dimensional rotations; Permutation test; Rotational symmetry

Although there have been fairly recent advances regarding inference for three-dimensional rotation data, there are still many areas of interest yet to be explored. One such area involves comparing the rotational symmetry of 3-D rotations. In this talk, nonparametric inference is used to test if the degree of rotational symmetry is the same for two distributions on 3-D rotations via a permutation test. The validity of the developed permutation test is examined through a simulation study.

Authors who are presenting talks have a * after their name.

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