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PUBLICATIONS

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
Pub Type
Journals

Download Paper

Local Download

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 October 10, 2025)

Issues

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Created September 12, 2006, Updated February 17, 2017
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