Analysis of local influence in geostatistics using Student's t -distribution
R.A.B. Assumpção,
M.A. Uribe-Opazo and
M. Galea
Journal of Applied Statistics, 2014, vol. 41, issue 11, 2323-2341
Abstract:
This article aims to estimate parameters of spatial variability with Student's t -distribution by the EM algorithm and present the study of local influence by means of two methods known as likelihood displacement and Q -displacement of likelihood, both using Student's t -distribution with fixed degrees of freedom (ν). The results showed that both methods are effective in the identification of influential points.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2014.909793 (text/html)
Access to full text is restricted to subscribers.
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:taf:japsta:v:41:y:2014:i:11:p:2323-2341
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20
DOI: 10.1080/02664763.2014.909793
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().