Statistical inference for functions of the covariance matrix in the stationary Gaussian time-orthogonal principal components model
Ian Dryden,
Alfred Kume,
Huiling Le and
Andrew Wood ()
Annals of the Institute of Statistical Mathematics, 2010, vol. 62, issue 5, 967-994
Keywords: Autoregressive; Central limit theorem; Configurational entropy; Principal components; Procrustes; Sample covariance; Shape; Size-and-shape (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s10463-008-0202-4 (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:spr:aistmt:v:62:y:2010:i:5:p:967-994
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10463/PS2
DOI: 10.1007/s10463-008-0202-4
Access Statistics for this article
Annals of the Institute of Statistical Mathematics is currently edited by Tomoyuki Higuchi
More articles in Annals of the Institute of Statistical Mathematics from Springer, The Institute of Statistical Mathematics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().