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[null,"1.","Record Nr.",null,"UNINA9910967075303321"]
[null,null,"Titolo",null,"Handbook of spatial statistics / / by Alan E. Gelfand ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, Fla. ; ; London, : CRC, 2010"]
[null,null,"ISBN",null,"9781040068199"]
[{"$nulls":4},"1040068197"]
[{"$nulls":4},"9780429136504"]
[{"$nulls":4},"0429136501"]
[{"$nulls":4},"9781420072884"]
[{"$nulls":4},"1420072889"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (622 p.)"]
[null,null,"Collana",null,"Chapman & Hall/CRC handbooks of modern statistical methods ; ; 2"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Spatial analysis (Statistics)"]
[{"$nulls":4},"Statistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front Cover; Contents; Preface; List of Contributors; Part I; Body; Chapter 1: Historical Introduction; Part II: Continuous Spatial Variation; Chapter 2: Continuous Parameter Stochastic Process Theory; Chapter 3: Classical Geostatistical Methods; Chapter 4: Likelihood-Based Methods; Chapter 5: Spectral Domain; Chapter 6: Asymptotics for Spatial Processes; Chapter 7: Hierarchical Modeling with Spatial Data; Chapter 8: Low-Rank Representations for Spatial Processes; Chapter 9: Constructions for Nonstationary Spatial Processes; Chapter 10: Monitoring Network Design"]
[{"$nulls":4},"Chapter 11: Non-Gaussian and Nonparametric Models forContinuous Spatial DataPart III: Discrete Spatial Variation; Chapter 12: Discrete Spatial Variation; Chapter 13: Conditional and Intrinsic Autoregressions; Chapter 14: Disease Mapping; Chapter 15: Spatial Econometrics; Part IV: Spatial Point Patterns; Chapter 16: Spatial Point Process Theory; Chapter 17: Spatial Point Process Models; Chapter 18: Nonparametric Methods; Chapter 19: Parametric Methods; Chapter 20: Modeling Strategies; Chapter 21: Multivariate and Marked Point Processes"]
[{"$nulls":4},"Chater 22: Point Process Models and Methods in Spatial EpidemiologyPart V: Spatio-Temporal Processes; Chapter 23: Continuous Parameter Spatio-Temporal Processes; Chapter 24: "]
[{"$nulls":4},"Dynamic Spatial Models Including Spatial Time Series; Chapter 25: Spatio-Temporal Point Processes; Chapter 26: Modeling Spatial Trajectories; Chapter 27: Data Assimilation; Part VI: Additional Topics; Chapter 28: Multivariate Spatial Process Models; Chapter 29: Misaligned Spatial Data: The Change of Support Problem; Chapter 30: Spatial Aggregation and the Ecological Fallacy; Chapter 31: Spatial Gradients and Wombling"]
[{"$nulls":4},"IndexBack Cover"]
[null,null,null,"Sommario/riassunto","Offers an introduction detailing the evolution of the field of spatial statistics. This title 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."]