Spatial statistics and spatio-temporal data : covariance functions and directional properties / Michael Sherman.

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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Bibliographic Details
Main Author: Sherman, Michael, 1963-
Format: eBook
Language:English
Published: Chichester, West Sussex, U.K. : Wiley, 2011.
Subjects:
Online Access:Click for online access

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100 1 |a Sherman, Michael,  |d 1963-  |1 https://id.oclc.org/worldcat/entity/E39PCjHx8gm37f8dy8y4DpGMpq 
245 1 0 |a Spatial statistics and spatio-temporal data :  |b covariance functions and directional properties /  |c Michael Sherman. 
260 |a Chichester, West Sussex, U.K. :  |b Wiley,  |c 2011. 
300 |a 1 online resource (xiii, 268 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Geostatistics -- Variogram and covariance models and estimation -- Spatial models and statistical inference -- Isotropy -- Space-time data -- Spatial point patterns -- Isotropy for spatial point patterns -- Multivariate spatial and spatio-temporal models -- Resampling for correlated observations. 
504 |a Includes bibliographical references (pages 251-262) and index. 
520 |a 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. 
588 0 |a Print version record. 
650 0 |a Analysis of covariance. 
650 0 |a Spatial analysis (Statistics) 
650 0 |a Space and time. 
650 7 |a spatial analysis.  |2 aat 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Analysis of covariance  |2 fast 
650 7 |a Space and time  |2 fast 
650 7 |a Spatial analysis (Statistics)  |2 fast 
655 7 |a dissertations.  |2 aat 
655 7 |a Academic theses  |2 fast 
655 7 |a Academic theses.  |2 lcgft 
655 7 |a Thèses et écrits académiques.  |2 rvmgf 
758 |i has work:  |a Spatial statistics and spatio-temporal data (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFB4RHQPW6Rg76rV4GxPw3  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Sherman, Michael, 1963-  |t Spatial statistics and spatio-temporal data.  |d Chichester, West Sussex, U.K. : Wiley, 2011  |z 9780470699584  |w (DLC) 2010029551  |w (OCoLC)653842643 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=624793  |y Click for online access 
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