EconPapers    
Economics at your fingertips  
 

Estimating and modeling space-time correlation structures

L. De Cesare, D. E. Myers and D. Posa

Statistics & Probability Letters, 2001, vol. 51, issue 1, 9-14

Abstract: In this paper, a class of product-sum covariance models has been introduced for estimating and modeling space-time correlation structures. It is shown how the coefficients of this class of models are related to the global sill and "partial" spatial and temporal sills; moreover, some constraints on these sills have been given in order to assure positive definiteness of the product-sum covariance model. A brief comparative study with some other classes of spatial-temporal covariance models has been pointed out.

Keywords: Space-time; correlation; Geostatistics (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(00)00131-0
Full text for ScienceDirect subscribers only

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:eee:stapro:v:51:y:2001:i:1:p:9-14

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:51:y:2001:i:1:p:9-14