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Hierarchical modelling for the environmental sciences : statistical methods and applications / edited by James S. Clark and Alan E. Gelfand.
- Format:
- Book
- Series:
- Oxford scholarship online.
- Oxford scholarship online
- Language:
- English
- Subjects (All):
- Bayesian statistical decision theory.
- Multilevel models (Statistics).
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Environmental sciences--Statistical methods.
- Environmental sciences.
- Physical Description:
- 1 online resource (216 p.)
- Place of Publication:
- Oxford : Oxford University Press, 2023.
- Language Note:
- English
- Summary:
- New statistical tools are changing the ways in which scientists analyse and interpret data and models. This text provides a non-technical overview of hierarchical Bayes and Markov Chain Monte Carlo (MCMC) methods for analysis of environmental data.
- Contents:
- 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
- Notes:
- Formerly CIP.
- Previously issued in print: 2006.
- Includes bibliographical references (pages 185-195) and index.
- Derived record based on print version record and publisher information.
- ISBN:
- 1-383-02994-6
- 1-280-90405-4
- 0-19-151384-9
- 1-4294-7043-7
- OCLC:
- 609829971
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