STOCHASTIC ORDERS OF MAGNITUDE ASSOCIATED WITH TWO‐STAGE ESTIMATORS OF FRACTIONAL ARIMA SYSTEMS
Jonathan Wright
Journal of Time Series Analysis, 1995, vol. 16, issue 1, 119-125
Abstract:
Abstract. Two‐stage estimators have been proposed in fractional autoregressive integrated moving‐average (ARIMA) systems which first estimate the long‐run features of the system semi‐parametrically and then estimate the short‐run features by usual methods in a second stage. Although asymptotic theory is available for the estimates in the first stage of such a procedure, we are aware of no results concerning the estimates in the second stage. In this paper we provide a stochastic order of magnitude associated with an estimator in this class and discuss this result.
Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/j.1467-9892.1995.tb00225.x
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:bla:jtsera:v:16:y:1995:i:1:p:119-125
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0143-9782
Access Statistics for this article
Journal of Time Series Analysis is currently edited by M.B. Priestley
More articles in Journal of Time Series Analysis from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().