Handbook of Environmental and Ecological Statistics (ISSN)
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- Synopsis
- This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 854 Pages
- ISBN-13:
- 9781351648547
- Related ISBNs:
- 9781315152509, 9780367731786, 9781498752121, 9781498752022, 9781351639019
- Publisher:
- CRC Press
- Date of Addition:
- 04/15/24
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Outdoors and Nature, Earth Sciences, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Alan E. Gelfand
- Edited by:
- Montserrat Fuentes
- Edited by:
- Jennifer A. Hoeting
- Edited by:
- Richard Lyttleton Smith
Reviews
Other Books
- by Alan Gelfand; Montse Fuentes; Jennifer A. Hoeting; Richard L. Smith
- in Nonfiction
- in Science
- in Outdoors and Nature
- in Earth Sciences
- in Mathematics and Statistics