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Activity Number: 260
Type: Contributed
Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract #318598 View Presentation
Title: Quantifying Spread in 3-D Rotation Data: Comparison of Nonparametric and Parametric Techniques
Author(s): Melissa Bingham*
Companies: University of Wisconsin-La Crosse
Keywords: 3-D rotations ; Bootstrapping ; matrix Fisher distribution

A measure of spread for 3-D rotation data, called the average misorientation angle, is introduced and bootstrapping is developed for this measure. Existing parametric inference methods for estimating spread in 3-D rotations are then compared to the bootstrapping procedure through a simulation study.

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

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