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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 t. N° de réf. du vendeur 447030565
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Paperback or Softback. Etat : New. Statistical Computation for Environmental Sciences in R: Lab Manual for Models for Ecological Data 0.83. Book. N° de réf. du vendeur BBS-9780691122625
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes.In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data.Consistent treatment from classical to modern BayesUnderlying distribution theory to algorithm developmentMany examples and applicationsDoes not assume statistical backgroundExtensive supporting appendixesAccompanying lab manual in R. N° de réf. du vendeur 9780691122625
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