Search from over 60,000 research works

Advanced Search

Detecting at-most-m changes in linear regression models

[thumbnail of 2C-jtsa-NOV13_2016.pdf]
Preview
2C-jtsa-NOV13_2016.pdf - Accepted Version (958kB) | Preview
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Horváth, L., Pouliot, W. and Wang, S. orcid id iconORCID: https://orcid.org/0000-0003-2113-5521 (2017) Detecting at-most-m changes in linear regression models. Journal of Time Series Analysis, 38 (4). pp. 552-590. ISSN 1467-9892 doi: 10.1111/jtsa.12228

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/79664
Item Type Article
Refereed Yes
Divisions Arts, Humanities and Social Science > School of Politics, Economics and International Relations > Economics
Publisher Wiley-Blackwell
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar