Non-parametric tests in AR models with applications to climatic data
Marc Hallin,
Jana Jureckova,
Jaroslava Kalvova,
Jan Picek and
Toufik Zahaf
ULB Institutional Repository from ULB -- Universite Libre de Bruxelles
Abstract:
New non-parametric tests of the order of the autoregression in a time series model were recently developed by Hallin and Jurečková. The main tool of these tests is the autoregression rank scores. After a brief description of the tests, their performance on simulated AR(1) time series is illustrated with the normal, Laplace and Cauchy innovation densities and they are applied to series of daily maximum temperatures recorded in three stations in south Moravia. © 1997 John Wiley & Sons, Ltd.
Date: 1997-12
Note: FLWIN
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Published in: Environmetrics (1997) v.8 n° 6,p.651-660
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Non-parametric tests in ar models with applications to climatic data (1997)
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:ulb:ulbeco:2013/2069
Ordering information: This working paper can be ordered from
http://hdl.handle.ne ... .ulb.ac.be:2013/2069
Access Statistics for this paper
More papers in ULB Institutional Repository from ULB -- Universite Libre de Bruxelles Contact information at EDIRC.
Bibliographic data for series maintained by Benoit Pauwels ().