Statistical Methods for Spatio-Temporal SystemsBarbel Finkenstadt, Leonhard Held, Valerie Isham CRC Press, 20.10.2006 - 286 Seiten Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. |
Inhalt
Chapter 2 SpatioTemporal Modelling 8212 with a View to Biological Growth | 47 |
Chapter 3 Using Transforms to Analyze SpaceTime Processes | 77 |
Chapter 4 Geostatistical SpaceTime Models Stationarity Separability and Full Symmetry | 151 |
Chapter 5 SpaceTime Modelling of Rainfall for Continuous Simulation | 177 |
Chapter 6 A Primer on SpaceTime Modeling from a Bayesian Perspective | 217 |
| 281 | |
Back cover | 295 |
Andere Ausgaben - Alle anzeigen
Statistical Methods for Spatio-Temporal Systems Barbel Finkenstadt,Leonhard Held Keine Leseprobe verfügbar - 2006 |
Statistical Methods for Spatio-Temporal Systems Barbel Finkenstadt,Valerie Isham,Leonhard Held Keine Leseprobe verfügbar - 2019 |
Statistical Methods for Spatio-Temporal Systems Barbel Finkenstadt,Leonhard Held,Valerie Isham Keine Leseprobe verfügbar - 2006 |
Häufige Begriffe und Wortgruppen
analysis approach asymptotic cells component computed conditional intensity correlation function corresponding covariance functions covariance rule covariance structure Cox processes credible intervals defined denotes dependence Diggle domain empirical estimate example exponential formulation Fourier transform frequencies Fuentes fully symmetric Gaussian process geostatistical GLMs GMRF Gneiting K-function kernel kriging lattice Lévy basis likelihood locally linear Markov Matérn matrix MCMC measure methods Møller multivariate nonstationary observed ozone parameter periodogram plot point process Poisson process posterior distribution posterior mean precision matrix prediction prior properties purely spatial radar rainfall Rd×R resulting sample scale Section separable sequence shown in Figure simulation smoothing space space-time covariance functions space-time models spatial and temporal spatial locations spatial process spatio-temporal point process specification spectral density stationary covariance stationary processes Statistical stochastic model subregion trend trend estimator University College London values variance variogram vector