On identifiability and consistency of the nugget in Gaussian spatial process models
On identifiability and consistency of the nugget in Gaussian spatial process models
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Oxford: Oxford University Press
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Language
English
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Oxford: Oxford University Press
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Contents
Spatial process models popular in geostatistics often represent the observed data as the sum of a smooth underlying process and white noise. The variation in the white noise is attributed to measurement error, or microscale variability, and is called the ‘nugget’. We formally establish results on the identifiability and consistency of the nugget in...
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Full title
On identifiability and consistency of the nugget in Gaussian spatial process models
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TN_cdi_proquest_miscellaneous_2636630852
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2636630852
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ISSN
1369-7412
E-ISSN
1467-9868
DOI
10.1111/rssb.12472
