Weighted Least Squares Estimators for a Change-Point
Ferger Dietmar
Additional contact information
Ferger Dietmar: Department of Mathematics, Technische Universität Dresden, Helmholtzstr. 10, D-0106 Dresden, Germany
Stochastics and Quality Control, 2005, vol. 20, issue 2, 255-270
Abstract:
This article deals with estimation of the change-point in a sequence of independent random variables. It is based on a least squares process endowed with a weight function. For finite sample sizes we derive bounds of the error probability. They immediately yield rates of consistency which are known to be optimal. Our findings extend and sharpen earlier results of Antoch, Hušková and Veraverbeke (Journal of Nonparametric Statistics 5: 123-144, 1995).
Date: 2005
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/EQC.2005.255 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:ecqcon:v:20:y:2005:i:2:p:255-270:n:9
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html
DOI: 10.1515/EQC.2005.255
Access Statistics for this article
Stochastics and Quality Control is currently edited by George P. Yanev
More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().