Introduces ecologists to modern methods in modeling and computation. This book covers both classical statistical approaches and computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. It introduces readers to the practical work of data modeling and computation in the language R.

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Bibliographic Details

Title: Statistical Computation for Environmental Sciences in R: Lab Manual for Models for Ecological Data
Publisher: Princeton University Press
Publication Date: 2007
Language: English
ISBN 10: 0691122628
ISBN 13: 9780691122625
Binding: Paperback
Condition: Good

About this title

Synopsis

A lab manual in the R language that is designed to be used with the textbook Models for Ecological Data, by James Clark

Used in conjuction with the textbook Models for Ecologiocal Data, by James Clark, this lab manual helps introduce readers to the practical work of data modeling and computation in the language R.

About the Author

James S. Clark is H. L. Blomquist Professor in the Nicholas School for the Environment, Professor of Statistics and Decisions Sciences, and Professor of Biology at Duke University. An award-winning researcher on the ecological impact of climate change, he is the author of more than one hundred papers for leading journals, including Science, Nature, and Ecology. In 2005, he was elected to the American Academy of Arts and Sciences.

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