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Statements

Subject Item
dbr:Covariance_function
dbo:wikiPageWikiLink
dbr:Rational_quadratic_covariance_function
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dbr:List_of_statistics_articles
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Rational quadratic covariance function
rdfs:comment
In statistics, the rational quadratic covariance function is used in spatial statistics, geostatistics, machine learning, image analysis, and other fields where multivariate statistical analysis is conducted on metric spaces. It is commonly used to define the statistical covariance between measurements made at two points that are d units distant from each other. Since the covariance only depends on distances between points, it is stationary. If the distance is Euclidean distance, the rational quadratic covariance function is also isotropic. * v * t * e
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dbc:Geostatistics dbc:Spatial_analysis dbc:Covariance_and_correlation
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dbr:Statistics dbr:Spatial_statistics dbc:Spatial_analysis dbr:Euclidean_distance dbc:Covariance_and_correlation dbr:Geostatistics dbr:Parameter dbr:Covariance_function dbr:Covariance dbc:Geostatistics dbr:Metric_space dbr:Machine_learning dbr:Isotropic dbr:Stationary_process
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In statistics, the rational quadratic covariance function is used in spatial statistics, geostatistics, machine learning, image analysis, and other fields where multivariate statistical analysis is conducted on metric spaces. It is commonly used to define the statistical covariance between measurements made at two points that are d units distant from each other. Since the covariance only depends on distances between points, it is stationary. If the distance is Euclidean distance, the rational quadratic covariance function is also isotropic. The rational quadratic covariance between two points separated by d distance units is given by where α and k are non-negative parameters of the covariance. * v * t * e
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wikipedia-en:Rational_quadratic_covariance_function?oldid=1123760237&ns=0
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