Testing lack of symmetry in spatial-temporal processes

DOI10.1016/j.jspi.2007.10.021zbMath1140.62072OpenAlexW2013247627WikidataQ41837297 ScholiaQ41837297MaRDI QIDQ935415

Man Sik Park, Montserrat Fuentes

Publication date: 6 August 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.10.021

zbMATH Keywords

separabilityair pollutionspectral density function

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Inference from stochastic processes and spectral analysis (62M15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (6)

Testing the covariance function of stationary Gaussian random fields ⋮ Construction of a criterion for testing hypothesis about covariance function of a stationary Gaussian stochastic process with unknown mean ⋮ A review of nonparametric hypothesis tests of isotropy properties in spatial data ⋮ A tuning parameter free test for properties of space-time covariance functions ⋮ Spatial-temporal mesoscale modeling of rainfall intensity using gage and radar data ⋮ Memory properties and aggregation of spatial autoregressive models

Cites Work

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• Nonseparable, Stationary Covariance Functions for Space–Time Data
• Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
• Space–Time Covariance Functions

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