Nonparametric Cusum Charts for Angular Data with Applications in Health Science and Astrophysics
Methodology
2018-06-08 v2
Abstract
This paper develops non-parametric rotation invariant CUSUMs suited to the detection of changes in the mean direction as well as changes in the concentration parameter of angular data. The properties of the CUSUMs are illustrated by theoretical calculations, Monte Carlo simulation and application to sequentially observed angular data from health science and astrophysics.
Keywords
Cite
@article{arxiv.1705.00351,
title = {Nonparametric Cusum Charts for Angular Data with Applications in Health Science and Astrophysics},
author = {F. Lombard and Douglas M. Hawkins and Cornelis Potgieter},
journal= {arXiv preprint arXiv:1705.00351},
year = {2018}
}