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Statistical Methods for Spatio-Temporal Systems (Monographs on Statistics and Applied Probability) by Bärbel Finkenstädt; Leonhard Held; Valerie Isham is a nonfiction available to read on EtoBox.

What is Statistical Methods for Spatio-Temporal Systems (Monographs on Statistics and Applied Probability) about?

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.Contributed by leading researchers in the field, each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis, gastroenteric disease, and the U.K. foot-and-mouth outbreak, the first chapter uses stochastic models, such as point process models, to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems, such as bacteria colonies, tumors, and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data, followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use, such as flood

Who reads Statistical Methods for Spatio-Temporal Systems (Monographs on Statistics and Applied Probability)?

Author

Bärbel Finkenstädt; Leonhard Held; Valerie Isham

Publisher

Chapman & Hall/CRC; Routledge; Chapman and Hall/CRC

Published

2006

Language

EN

ISBN

9780367390112

Category

nonfiction

Subjects

Mathematics, Science, Stem