Fr. 236.00

Statistical Methods for Spatio-temporal Systems

English · Hardback

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Informationen zum Autor Bärbel Finkenstädt, Leonhard Held, Valerie Isham Klappentext The first statistics book devoted to spatio-temporal models, Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling that will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. The book describes recent advances and presents a variety of statistical methods, including likelihood-based, nonparametric smoothing, spectral, Fourier, wavelet, and Markov chain Monte Carlo. The methods are illustrated with color images as well as real-world examples, case studies, and applications from epidemiology, geology, and climatology. Key topics include point processes, dynamics, modeling, data analysis, Bayesian methods, and geostatistics. Zusammenfassung Presents statistical research issues on spatio-temporal data modeling that promotes advances in research and an understanding between the mechanistic and the statistical modeling communities. This book offers a variety of statistical methods, including likelihood-based, nonparametric smoothing, Fourier, wavelet, and Markov chain Monte Carlo. Inhaltsverzeichnis Preface. Spatio-Temporal Point Processes: Methods and Applications. Spatio-Temporal Modeling-With a View to Biological Growth. Using Transforms to Analyze Space-Time Processes. Geostatistical Space-Time Models, Stationarity, Separability, and Full Symmetry. Space-Time Modeling of Rainfall for Continuous Simulation. A Primer on Space-Time Modeling from a Bayesian Perspective. Index.

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