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A Non-Parametric Approach to the Change-Point Problem
Abstract
Non‐parametric techniques are introduced for the change‐point problem. Exact and approximate results are obtained for testing the null hypothesis of no change. The methods are illustrated by the analysis of three sets of data illustrating the techniques for zero–one observations, Binomial observations and continuous observations. Some comparisons are made with methods based on cusums.
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Ray, S., McEvoy, D. S., Aaron, S., Hickman, T.-T., & Wright, A. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy041 · Cited by 44
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Metadata
- Authors
- Pettitt, A. N.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1979
- Volume
- 28
- Issue
- 2
- Pages
- 126
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W2796034401
- Cited by
- 4,114
- References
- 0
- FWCI
- 12.91
- Type
- journal article
- Language
- en
- Open access
- closed
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