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1 |
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|a Handbook of spatial statistics
|b Texte imprimé
|f edited by Alan E. Gelfand, Peter J. Diggle, Montserrat Fuentes ... [et al.]
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| 210 |
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|a Boca Raton
|c CRC Press
|d cop. 2010, cop. 2010
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| 215 |
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|a 1 vol. (XII-607 p.)
|c ill., cartes
|d 27 cm
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| 225 |
0 |
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|a Chapman & Hall/CRC handbooks of modern statistical methods
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| 320 |
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|a Bibliographie en fin de chapitres. Index
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| 330 |
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|a La quatrième de couverture indique : "Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters. The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and spatial point patterns. The book also contains a section on space-time work as well as a section on important topics that build upon earlier chapters. By collecting the major work in the field in one source, along with including an extensive bibliography, this handbook will assist future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples."
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| 359 |
2 |
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|b Historical introduction / Peter J. Diggle
|b Continuous parameter stochastic process theory / Tilmann Gneiting and Peter Guttorp
|b Classical geostatistical methods / Dale L. Zimmerman and Michael Stein
|b Likelihood-based methods / Dale L. Zimmerman
|b Spectral domain / Montserrat Fuentes and Brian Reich
|b Asymptotics for spatial processes / Michael Stein
|b Hierarchical modeling with spatial data / Christopher K. Wikle
|b Low-rank representations for spatial processes / Christopher K. Wikle
|b Constructions for nonstationary spatial processes / Paul D. Sampson
|b Monitoring network design / James V. Zidek and Dale L. Zimmerman
|b Non-Gaussian and nonparametric models for continuous spatial data / Mark F.J. Steel and Montserrat Fuentes
|b Discrete spatial variation / Håvard Rue and Leonard Held
|b Conditional and intrinsic autoregressions / Leonhard Held and Håvard Rue
|b Disease mapping / Lance Waller and Brad Carlin
|b Spatial econometrics / R. Kelley Pace and James LeSage
|b Spatial point process theory / Marie-Colette van Lieshout
|b Spatial point process models / Valerie Isham
|b Nonparametric methods / Peter J. Diggle
|b Parametric methods / Jesper Møller
|b Modeling strategies / Adrian Baddeley
|b Multivariate and marked point processes / Adrian Baddeley
|b Point process models and methods in spatial epidemiology / Lance Waller
|b Continuous parameter spatio-temporal processes / Tilmann Gneiting and Peter Guttorp
|b Dynamic spatial models including spatial time series / Dani Gamerman
|b Spatio-temporal point processes / Peter J. Diggle and Edith Gabriel
|b Modeling spatial trajectories / David R. Brillinger
|b Data assimilation / Douglas W. Nychka and Jeffrey L. Anderson
|b Multivariate spatial process models / Alan E. Gelfand and Sudipto Banerjee
|b Misaligned spatial data: the change of support problem / Alan E. Gelfand
|b Spatial aggregation and the ecological fallacy / Jonathan Wakefield and Hilary Lyons
|b Spatial gradients and wombling / Sudipto Banerjee
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| 410 |
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|0 187216150
|t Chapman & Hall/CRC handbooks of modern statistical methods (Print)
|x 2379-2396
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|3 PPN027278522
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