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Nonparametric Cusum Charts for Circular Data with Applications in Health Science and Astrophysics
- Source :
- Revstat Statistical Journal, Vol 18, Iss 4 (2020)
- Publication Year :
- 2020
- Publisher :
- Instituto Nacional de EstatÃstica | Statistics Portugal, 2020.
-
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 circular 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.
Details
- Language :
- English
- ISSN :
- 16456726 and 21830371
- Volume :
- 18
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- Revstat Statistical Journal
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.650fc812dd7e445c89e08e40d232bc1b
- Document Type :
- article
- Full Text :
- https://doi.org/10.57805/revstat.v18i4.312