Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Sherman, Michael
Lenguaje:eng
Publicado: John Wiley & Sons Ltd 2010
Materias:
Acceso en línea:http://cds.cern.ch/record/1412524
_version_ 1780923896290082816
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