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Biblioteca

MARC Lista (tabellare)
Handbook of spatial statistics / / [edited by] Alan E. Gelfand. [et al.]
Handbook of spatial statistics / / [edited by] Alan E. Gelfand. [et al.]
Pubbl/distr/stampa Boca Raton : , : Taylor & Francis, , 2010
Descrizione fisica 1 online resource (622 p.)
Disciplina 519.5
Altri autori (Persone) GelfandAlan E. <1945->
Collana Chapman & Hall/CRC handbooks of modern statistical methods
Soggetto topico Spatial analysis (Statistics)
Statistics
Soggetto genere / forma Electronic books.
ISBN 0-429-13650-1
1-4200-7288-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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
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
Chater 22: Point Process Models and Methods in Spatial EpidemiologyPart V: Spatio-Temporal Processes; Chapter 23: Continuous Parameter Spatio-Temporal Processes; Chapter 24: 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
IndexBack Cover
Record Nr. UNINA-9910459342703321
Boca Raton : , : Taylor & Francis, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of spatial statistics / / [edited by] Alan E. Gelfand. [et al.]
Handbook of spatial statistics / / [edited by] Alan E. Gelfand. [et al.]
Pubbl/distr/stampa Boca Raton : , : Taylor & Francis, , 2010
Descrizione fisica 1 online resource (622 p.)
Disciplina 519.5
Altri autori (Persone) GelfandAlan E. <1945->
Collana Chapman & Hall/CRC handbooks of modern statistical methods
Soggetto topico Spatial analysis (Statistics)
Statistics
ISBN 0-429-13650-1
1-4200-7288-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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
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
Chater 22: Point Process Models and Methods in Spatial EpidemiologyPart V: Spatio-Temporal Processes; Chapter 23: Continuous Parameter Spatio-Temporal Processes; Chapter 24: 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
IndexBack Cover
Record Nr. UNINA-9910784934203321
Boca Raton : , : Taylor & Francis, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hierarchical modelling for the environmental sciences [[electronic resource] ] : statistical methods and applications / / edited by James S. Clark and Alan E. Gelfand
Hierarchical modelling for the environmental sciences [[electronic resource] ] : statistical methods and applications / / edited by James S. Clark and Alan E. Gelfand
Pubbl/distr/stampa Oxford ; ; New York, : Oxford University Press, 2006
Descrizione fisica 1 online resource (216 p.)
Disciplina 577.01/519542
Altri autori (Persone) ClarkJames Samuel <1957->
GelfandAlan E. <1945->
Soggetto topico Bayesian statistical decision theory
Multilevel models (Statistics)
Mathematical statistics - Data processing
Environmental sciences - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-280-90405-4
0-19-151384-9
1-4294-7043-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Contributors; Part I: Introduction to hierarchical modeling; 1 Elements of hierarchical Bayesian inference; 2 Bayesian hierarchical models in geographical genetics; Part II: Hierarchical models in experimental settings; 3 Synthesizing ecological experiments and observational data with hierarchical Bayes; 4 Effects of global change on inflorescence production: a Bayesian hierarchical analysis; Part III: Spatial modeling; 5 Building statistical models to analyze species distributions
6 Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysisPart IV: Spatio-temporal modeling; 7 Spatial-temporal statistical modeling and prediction of environmental processes; 8 Hierarchical Bayesian spatio-temporal models for population spread; 9 Spatial models for the distribution of extremes; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z
Record Nr. UNINA-9910458955303321
Oxford ; ; New York, : Oxford University Press, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hierarchical modelling for the environmental sciences [[electronic resource] ] : statistical methods and applications / / edited by James S. Clark and Alan E. Gelfand
Hierarchical modelling for the environmental sciences [[electronic resource] ] : statistical methods and applications / / edited by James S. Clark and Alan E. Gelfand
Pubbl/distr/stampa Oxford ; ; New York, : Oxford University Press, 2006
Descrizione fisica 1 online resource (216 p.)
Disciplina 577.01/519542
Altri autori (Persone) ClarkJames Samuel <1957->
GelfandAlan E. <1945->
Soggetto topico Bayesian statistical decision theory
Multilevel models (Statistics)
Mathematical statistics - Data processing
Environmental sciences - Statistical methods
ISBN 1-383-02994-6
1-280-90405-4
0-19-151384-9
1-4294-7043-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Contributors; Part I: Introduction to hierarchical modeling; 1 Elements of hierarchical Bayesian inference; 2 Bayesian hierarchical models in geographical genetics; Part II: Hierarchical models in experimental settings; 3 Synthesizing ecological experiments and observational data with hierarchical Bayes; 4 Effects of global change on inflorescence production: a Bayesian hierarchical analysis; Part III: Spatial modeling; 5 Building statistical models to analyze species distributions
6 Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysisPart IV: Spatio-temporal modeling; 7 Spatial-temporal statistical modeling and prediction of environmental processes; 8 Hierarchical Bayesian spatio-temporal models for population spread; 9 Spatial models for the distribution of extremes; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z
Record Nr. UNINA-9910784502503321
Oxford ; ; New York, : Oxford University Press, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hierarchical modelling for the environmental sciences [[electronic resource] ] : statistical methods and applications / / edited by James S. Clark and Alan E. Gelfand
Hierarchical modelling for the environmental sciences [[electronic resource] ] : statistical methods and applications / / edited by James S. Clark and Alan E. Gelfand
Pubbl/distr/stampa Oxford ; ; New York, : Oxford University Press, 2006
Descrizione fisica 1 online resource (216 p.)
Disciplina 577.01/519542
Altri autori (Persone) ClarkJames Samuel <1957->
GelfandAlan E. <1945->
Soggetto topico Bayesian statistical decision theory
Multilevel models (Statistics)
Mathematical statistics - Data processing
Environmental sciences - Statistical methods
ISBN 1-383-02994-6
1-280-90405-4
0-19-151384-9
1-4294-7043-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Contributors; Part I: Introduction to hierarchical modeling; 1 Elements of hierarchical Bayesian inference; 2 Bayesian hierarchical models in geographical genetics; Part II: Hierarchical models in experimental settings; 3 Synthesizing ecological experiments and observational data with hierarchical Bayes; 4 Effects of global change on inflorescence production: a Bayesian hierarchical analysis; Part III: Spatial modeling; 5 Building statistical models to analyze species distributions
6 Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysisPart IV: Spatio-temporal modeling; 7 Spatial-temporal statistical modeling and prediction of environmental processes; 8 Hierarchical Bayesian spatio-temporal models for population spread; 9 Spatial models for the distribution of extremes; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z
Record Nr. UNINA-9910816788803321
Oxford ; ; New York, : Oxford University Press, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui