Model checks of higher order time series
W. Stute,
M. Presedo Quindimil,
W. González Manteiga and
H.L. Koul
Statistics & Probability Letters, 2006, vol. 76, issue 13, 1385-1396
Abstract:
In this paper we propose and study nonparametric tests for the validity of higher order time-series models. These are based on properly defined residual cusums. In a simulation study it is shown that these tests outperform others when the time series has a dimension reducing character and the dimension becomes large.
Keywords: Higher; order; time; series; Model; check; Marked; empirical; processes; Residual; cusums; Dimension; reducing; model (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(06)00046-0
Full text for ScienceDirect subscribers only
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:eee:stapro:v:76:y:2006:i:13:p:1385-1396
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().