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04185nam a2200649 4500 |
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20170124071437.5 |
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150424s2015 enk ob 001 0 eng |
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|a 2015016615
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|a 9781118762431
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|a QE33.2.S82
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|a 551.01/5195
|2 23
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|a MAIN
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|a Montero, José María.
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|a Spatial and spatio-temporal geostatistical modeling and kriging /
|c José-María Montero, Department of Statistics, University of Castilla-La Mancha, Spain, Gema Fernández-Aviles, Department of Statistics, University of Castilla-La Mancha, Spain, Jorge Mateu, Department of Mathematics, University Jaume I of Castellon, Spain.
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|a Chichester, West Sussex, UK :
|b John Wiley and Sons, Inc.,
|c 2015.
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300 |
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|a 1 online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Wiley series in probability and statistics
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|a From classical statistics to geostatistics -- Geostatistics: preliminaries -- Structural analysis -- Spatial prediction and kriging -- Geostatistics and spatio-temporal random functions -- Spatio-temporal structural analysis (I): empirical semivariogram and covariogram estimation and model fitting -- Spatio-temporal structural analysis (II): theoretical covariance models -- Spatio-temporal prediction and kriging -- An introduction to functional geostatistics -- Appendices A: Spectral representations -- Appendices B: Probabilistic aspects of -- Basic theory on restricted maximum likelihood -- Most relevant proofs (Chapter 7) -- Bibliography and further reading -- Index -- Supplemental Images -- Wiley Series in Probability and Statistics.
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|a Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R. This book includes: -Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods. -The most innovative developments in the different steps of the kriging process. -An up-to-date account of strategies for dealing with data evolving in space and time. -An accompanying website featuring R code and examples.
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650 |
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|a Geology
|x Statistical methods.
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650 |
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|a Kriging.
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650 |
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7 |
|a SCIENCE
|x Earth Sciences
|x Geography.
|2 bisacsh
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650 |
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7 |
|a SCIENCE
|x Earth Sciences
|x Geology.
|2 bisacsh
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650 |
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7 |
|a Geology
|x Statistical methods.
|2 fast
|0 (OCoLC)fst00940698
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650 |
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7 |
|a Kriging.
|2 fast
|0 (OCoLC)fst00989128
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655 |
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4 |
|a Electronic books.
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700 |
1 |
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|a Fernández-Avilés, Gema.
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700 |
1 |
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|a Mateu, Jorge.
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776 |
0 |
8 |
|i Print version:
|a Montero, José María.
|t Spatial and spatio-temporal geostatistical modeling and kriging.
|d Chichester, West Sussex : John Wiley and Sons, Inc., 2015
|z 9781118413180
|w (DLC) 2015015489
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830 |
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0 |
|a Wiley series in probability and statistics.
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856 |
4 |
0 |
|u https://doi.org/10.1002/9781118762387
|z Full Text via HEAL-Link
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994 |
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|a 92
|b DG1
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