Estimation of the Fourier coefficient functions and their spectral densities for \gf-mixing almost periodically correlated processes
Harry L. Hurd and
Jacek Leskow
Statistics & Probability Letters, 1992, vol. 14, issue 4, 299-306
Abstract:
The correlation function of an almost periodically correlated process X(t) has the Fourier series R(t + [tau], t) ~ [Sigma][lambda]k[epsilon][Lambda]a[lambda]k([tau]) exp(i[lambda]kt). If X(t) is \gf-mixing, we show for any known [lambda]k that the natural estimator for a[lambda]k([tau]) and the kernel estimator for its spectral density g[lambda]k([gamma]) are consistent in quadratic mean.
Keywords: Almost; periodically; correlated; processes; spectral; estimation (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(92)90061-9
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:14:y:1992:i:4:p:299-306
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 ().