Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Association Characteristics in Spatial Statistics

Published

Author(s)

Andrew L. Rukhin

Abstract

A coefficient of association for two spatial sequences is suggested. Some properties of this characteristic are discussed. By using the Central Limit Theorem for stationary random fields its limiting asymptotic normality is derived for any error distribution admitting finite fourth moment. Several examples of moving averages models and autoregression models are presented.
Citation
Mathematical Methods of Statistics

Keywords

autoregression, correlation, cross-variogram, moving averages, similarity, time series

Citation

Rukhin, A. (2006), Association Characteristics in Spatial Statistics, Mathematical Methods of Statistics, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150631 (Accessed July 12, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 12, 2006, Updated February 17, 2017