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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||