Models for Ecological Data: An Introduction
Language: English
Published by Princeton University Press, 2007
- Hardcover
- New
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
£ 87.82
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Add to basketItem description from seller
2007. Hardcover. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful statistical tools for making sense of ecological processes. This work introduces them to these methods in modeling and computation. It also describes how complexity can motivate a shift to Bayesian methods. Num Pages: 632 pages, 163 line illus. 21 tables. BIC Classification: JHBC; RN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 210 x 40. Weight in Grams: 1680. . . . . .
Seller Inventory # V9780691121789
- Title
- Models for Ecological Data: An Introduction
- Author
- James S. Clark
- Publisher
- Princeton University Press
- Publication year
- 2007
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0691121788
- ISBN 13
- 9780691121789
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 Bayes
- Underlying distribution theory to algorithm development
- Many examples and applications
- Does not assume statistical background
- Extensive supporting appendixes
- Lab manual in R is available separately
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Kennys Bookshop and Art Galleries Ltd.
Galway, GY, Ireland
AbeBooks seller since February 27, 2001
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