On change-points tests based on two-samples U-Statistics for weakly dependent observations
Joseph Ngatchou-Wandji (),
Echarif Elharfaoui and
Michel Harel
Additional contact information
Joseph Ngatchou-Wandji: EHESP Sorbonne Paris Cité & Institut Élie Cartan de Lorraine
Echarif Elharfaoui: Université Chouaîb Doukkali
Michel Harel: INSPÉ Limoges
Statistical Papers, 2022, vol. 63, issue 1, No 12, 287-316
Abstract:
Abstract We study change-points tests based on U-statistics for absolutely regular observations. Our method avoids some technical assumptions on the data and the kernel. The asymptotic properties of the U-statistics are studied under the null hypothesis, under fixed alternatives and under a sequence of local alternatives. The asymptotic distributions of the test statistics under the null hypothesis and under the local alternatives are given explicitly and the tests are shown to be consistent. A small set of simulations is done for evaluating the performance of the tests in detecting changes in the mean, variance and autocorrelation of some simple time series.
Keywords: 60F17; 62F03; 62M10 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s00362-021-01242-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:63:y:2022:i:1:d:10.1007_s00362-021-01242-3
Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362
DOI: 10.1007/s00362-021-01242-3
Access Statistics for this article
Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller
More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().