EconPapers    
Economics at your fingertips  
 

Automatic spectral density estimation for random fields on a lattice via bootstrap

Jose Vidal-Sanz

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2009, vol. 18, issue 1, 96-114

Keywords: Spatial data; Spectral density; Smoothing number; Uniform asymptotic distribution; Bootstrap; 62M30; 62M15; 62G20 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1007/s11749-007-0059-5 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Automatic spectral density estimation for Random fields on a lattice via bootstrap (2007) Downloads
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:testjl:v:18:y:2009:i:1:p:96-114

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11749/PS2

DOI: 10.1007/s11749-007-0059-5

Access Statistics for this article

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research is currently edited by Alfonso Gordaliza and Ana F. Militino

More articles in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research from Springer, Sociedad de Estadística e Investigación Operativa
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2020-10-26
Handle: RePEc:spr:testjl:v:18:y:2009:i:1:p:96-114