By Song S. Qian
Emphasizing the inductive nature of statistical considering, Environmental and Ecological information with R connects utilized facts to the environmental and ecological fields. It follows the overall method of fixing a statistical modeling challenge, protecting version specification, parameter estimation, and version assessment. the writer makes use of many examples to demonstrate the statistical versions and offers R implementations of the models.
The e-book first builds a beginning for undertaking an easy facts research activity, comparable to exploratory facts research and becoming linear regression types. It then makes a speciality of statistical modeling, together with linear and nonlinear versions, category and regression tree, and the generalized linear version. The textual content additionally discusses using simulation for version checking, offers instruments for a severe evaluation of the built version, and explores multilevel regression types, that are a category of types that may have a wide influence in environmental and ecological info analysis.
Based on classes taught by way of the writer at Duke college, this booklet specializes in statistical modeling and knowledge research for environmental and ecological difficulties. by way of guiding readers throughout the tactics of clinical challenge fixing and statistical version improvement, it eases the transition from clinical speculation to statistical model.
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Additional resources for Environmental and Ecological Statistics with R (Chapman & Hall/CRC Applied Environmental Statistics)
Environmental and Ecological Statistics with R (Chapman & Hall/CRC Applied Environmental Statistics) by Song S. Qian