Handbook of Meta-analysis in Ecology and Evolution

生态和进化大数据分析手册

生态学

售   价:
566.00
发货周期:预计8-10周
出  版 社
出版时间
2013年04月21日
装      帧
平装
ISBN
9780691137292
复制
页      码
498
开      本
9.80 x 7.00 x 1.30
语      种
英文
综合评分
暂无评分
我 要 买
- +
库存 18 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
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
馆藏图书馆
Yale University Library
Princeton University Library
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个