+44 1803 865913
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability Volume: 107
Edited By: Barbel Finkenstadt, Leonhard Held and Valerie Isham
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.
PrefaceSpatio-Temporal Point Processes: Methods and ApplicationsPeter J. DiggleSpatio-Temporal Modeling-With a View to Biological GrowthEva B. Vedel Jensen, Kristjana r J nsd ttir, Jnrgen Schmiegel, and Ole E. Barndorff-NielsenUsing Transforms to Analyze Space-Time ProcessesMontserrat Fuentes, Peter Guttorp, and Paul D. SampsonGeostatistical Space-Time Models, Stationarity, Separability, and Full SymmetryTilmann Gneiting, Marc G. Genton, and Peter GuttorpSpace-Time Modeling of Rainfall for Continuous SimulationRichard E. Chandler, Valerie Isham, Enrica Bellone, Chi Yang, and Paul NorthropA Primer on Space-Time Modeling from a Bayesian PerspectiveDave HigdonIndex
There are currently no reviews for this book. Be the first to review this book!
Your orders support book donation projects
On behalf of Parque Nacional Nahuel Huapi I would like to thank NHBS. The book will be very useful for my students.
Search and browse over 110,000 wildlife and science products
Multi-currency. Secure worldwide shipping
Wildlife, science and conservation since 1985