Gait analysis and the bootstrap. (English) Zbl 0695.62244

Summary: This paper is about random coefficient trigonometric regression models and their use in gait analysis. Here gait analysis means free-speed walking on a level surface. Our study focuses on boostrap-based prediction regions for the angular rotation curves of test children, when the relevant training data are gathered from normal children of comparable ages. Considerations that led to our choice of model and use of the boostrap are given. Prediction regions and empirical bootstrap distributions are displayed, as is their application to several test cases. Also included is a study of the almost sure asymptotic behavior of the theoretical bootstrap probability of the prediction regions.


62P10 Applications of statistics to biology and medical sciences; meta analysis
62G15 Nonparametric tolerance and confidence regions
62J05 Linear regression; mixed models
60F99 Limit theorems in probability theory
62P99 Applications of statistics
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