Adaptive test for periodicity in restrictive EXPAR(p) models
A. Yousfi and
M. Merzougui
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 17, 6064-6077
Abstract:
Locally asymptotically most stringent test for testing the periodicity in the restricted exponential autoregressive model EXPAR(1) has been constructed by Merzougui et al. This test is generalized here to the restricted EXPAR of order p. On the other hand, we construct a semi-parametric optimal test of periodicity when the innovation density is unknown. The sufficient conditions of the Local Asymptotic Normality (LAN) property are adapted to the periodic model.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1852433 (text/html)
Access to full text is restricted to subscribers.
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:taf:lstaxx:v:51:y:2022:i:17:p:6064-6077
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2020.1852433
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().