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Ecological Statistics

Contemporary Theory and Application

Autor: Gordon A. Fox

Limbă:

Legare: Copertă tare

Editura: Oxford University Press

Disponibilitate: șansă 50%

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The application and interpretation of statistics are central to ecological study and practice. Ecolo...

Informații despre carte

Autor

Gordon A. Fox

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2015

Pagini

406

EAN

9780199672547

ISBN

0199672547

Enbook ID

09034779

Editura

Oxford University Press

Greutate

1086

Dimensiuni

195 x 248 x 26

Descriere completă

The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.