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Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties
In the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest. There have been several books in recent years in the general area of spatial statistics. This book focuses on c...
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Lenguaje: | eng |
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John Wiley & Sons Ltd
2010
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Acceso en línea: | http://cds.cern.ch/record/1412524 |
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author | Sherman, Michael |
author_facet | Sherman, Michael |
author_sort | Sherman, Michael |
collection | CERN |
description | In the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest. There have been several books in recent years in the general area of spatial statistics. This book focuses on covariance and variogram functions, their role in prediction, and the proper choice of these functions in data applications. Presenting recent methods from 2004-2007 alongside more established methodology of assessing the usual assumptions on such functions such as isotropy, separability and symmetry |
id | cern-1412524 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2010 |
publisher | John Wiley & Sons Ltd |
record_format | invenio |
spelling | cern-14125242021-04-22T00:45:01Zhttp://cds.cern.ch/record/1412524engSherman, MichaelSpatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional PropertiesMathematical Physics and MathematicsIn the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest. There have been several books in recent years in the general area of spatial statistics. This book focuses on covariance and variogram functions, their role in prediction, and the proper choice of these functions in data applications. Presenting recent methods from 2004-2007 alongside more established methodology of assessing the usual assumptions on such functions such as isotropy, separability and symmetryJohn Wiley & Sons Ltdoai:cds.cern.ch:14125242010 |
spellingShingle | Mathematical Physics and Mathematics Sherman, Michael Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties |
title | Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties |
title_full | Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties |
title_fullStr | Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties |
title_full_unstemmed | Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties |
title_short | Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties |
title_sort | spatial statistics and spatio-temporal data: covariance functions and directional properties |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1412524 |
work_keys_str_mv | AT shermanmichael spatialstatisticsandspatiotemporaldatacovariancefunctionsanddirectionalproperties |