Handbook of Meta-analysis in Ecology and Evolution - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Meta-analysis in Ecology and Evolution write by Julia Koricheva. This book was released on 2013-04-21. Handbook of Meta-analysis in Ecology and Evolution available in PDF, EPUB and Kindle. 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
Handbook of Meta-analysis in Ecology and Evolution
Handbook of Meta-analysis in Ecology and Evolution - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Meta-analysis in Ecology and Evolution write by Julia Koricheva. This book was released on 2013-04-21. Handbook of Meta-analysis in Ecology and Evolution available in PDF, EPUB and Kindle. 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
Handbook of Meta-Analysis
Handbook of Meta-Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Meta-Analysis write by Christopher H. Schmid. This book was released on 2020-09-07. Handbook of Meta-Analysis available in PDF, EPUB and Kindle. 1. Provides a comprehensive overview of meta-analysis methods and applications. 2. Divided into four major sub-topics, covering univariate meta-analysis, multivariate, applications and policy. 3. Designed to be suitable for graduate students and researchers new to the field. 4. Includes lots of real examples, with data and software code made available. 5. Chapters written by the leading researchers in the field.
Handbook of Trait-Based Ecology
Handbook of Trait-Based Ecology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Trait-Based Ecology write by Francesco de Bello. This book was released on 2021-03-11. Handbook of Trait-Based Ecology available in PDF, EPUB and Kindle. Trait-based ecology is rapidly expanding. This comprehensive and accessible guide covers the main concepts and tools in functional ecology.
The Oxford Handbook of Religion and Ecology
The Oxford Handbook of Religion and Ecology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Oxford Handbook of Religion and Ecology write by Roger S. Gottlieb. This book was released on 2006-11-09. The Oxford Handbook of Religion and Ecology available in PDF, EPUB and Kindle. Ecologically oriented visions of God, the Sacred, the Earth, and human beings. The proposed handbook will serve as the definitive overview of these exciting new developments. Divided into three main sections, the books essays will reflect the three dominant dimensions of the field. Part I will explore
