Statistical Methods for Spatial Data Analysis - Oliver Schabenberger,Carol A. Gotway
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Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. The volume delivers an up-to-date treatment of semivariogram estimation and modeling and spatial analysis in the spectral domain, as well as a thorough analysis of spatial regression, cover ... Pilns apraksts
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Aprašymas
Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. The volume delivers an up-to-date treatment of semivariogram estimation and modeling and spatial analysis in the spectral domain, as well as a thorough analysis of spatial regression, covering linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data and succinctly discussing Bayesian hierarchical models. It concludes with a review of simulation, non-stationary covariance and spatio-temporal processes.
Vairāk informācijas
| Autors | Oliver Schabenberger, Carol A. Gotway |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2004 |
| Vāka tips | Cietais vāks |
| EAN | 9781584883227 |