Environmental and Ecological Statistics with R (Chapman & by Song S. Qian

By Song S. Qian

Emphasizing the inductive nature of statistical considering, Environmental and Ecological data with R connects utilized information to the environmental and ecological fields. It follows the final 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 provides R implementations of the models.

The ebook first builds a starting place for engaging in an easy info research activity, reminiscent of exploratory information research and becoming linear regression types. It then specializes in statistical modeling, together with linear and nonlinear types, type and regression tree, and the generalized linear version. The textual content additionally discusses using simulation for version checking, presents instruments for a severe evaluation of the constructed version, and explores multilevel regression versions, that are a category of versions that could have a huge influence in environmental and ecological information analysis.

Based on classes taught by means of the writer at Duke collage, this e-book specializes in statistical modeling and knowledge research for environmental and ecological difficulties. by way of guiding readers during the procedures of clinical challenge fixing and statistical version improvement, it eases the transition from clinical speculation to statistical model.

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