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Network Analysis in Marine Ecology, F. Wulff; J.G. Field; K.H. Mann


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Автор: F. Wulff; J.G. Field; K.H. Mann
Название:  Network Analysis in Marine Ecology
ISBN: 9783642750199
Издательство: Springer
Классификация:

ISBN-10: 3642750192
Обложка/Формат: Soft cover
Страницы: 284
Вес: 0.51 кг.
Дата издания: 13.12.2011
Серия: Coastal and Estuarine Studies
Язык: English
Издание: Softcover reprint of
Иллюстрации: Viii, 284 p.
Размер: 241 x 172 x 17
Читательская аудитория: Professional & vocational
Основная тема: Ecology
Подзаголовок: Methods and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This is a highly original contribution to the growing field of ecosystem theory, in which attention is paid to the properties of the total, functioning ecosystem, rather than to the properties of individual organisms.


Handbook of Meta-Analysis in Ecology and Evolution

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
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Цена: 11880.00 р.
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Описание: "Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets "--

Stochastic Analysis in Production Process and Ecology Under Uncertainty

Автор: Bogus?aw Bieda
Название: Stochastic Analysis in Production Process and Ecology Under Uncertainty
ISBN: 3642427804 ISBN-13(EAN): 9783642427800
Издательство: Springer
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Цена: 13059.00 р.
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Описание: Chapter five contains examples of using ecological Life Cycle Assessment (LCA) - a relatively new method of environmental impact assessment - which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes.

New Frontiers of Network Analysis in Systems Biology

Автор: Avi Ma`ayan; Ben D. MacArthur
Название: New Frontiers of Network Analysis in Systems Biology
ISBN: 9400799195 ISBN-13(EAN): 9789400799196
Издательство: Springer
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Цена: 22201.00 р.
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Описание: This book describes cutting-edge experimental and computational advances in emerging sub-fields of systems biology. Coverage includes the study of mammalian embryonic stem cells, new technologies involving mass-spectrometry proteomics and systems pharmacology.

Weighted Network Analysis

Автор: Steve Horvath
Название: Weighted Network Analysis
ISBN: 1493900226 ISBN-13(EAN): 9781493900220
Издательство: Springer
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Цена: 25155.00 р.
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Описание: High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.


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