0
Your cart

Your cart is empty

Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Evolution

Buy Now

Handbook of Meta-analysis in Ecology and Evolution (Paperback) Loot Price: R1,811
Discovery Miles 18 110
You Save: R101 (5%)
Handbook of Meta-analysis in Ecology and Evolution (Paperback): Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen

Handbook of Meta-analysis in Ecology and Evolution (Paperback)

Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen

 (sign in to rate)
List price R1,912 Loot Price R1,811 Discovery Miles 18 110 | Repayment Terms: R170 pm x 12* You Save R101 (5%)

Bookmark and Share

Expected to ship within 12 - 17 working days

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

General

Imprint: Princeton University Press
Country of origin: United States
Release date: April 2013
First published: April 2013
Editors: Julia Koricheva • Jessica Gurevitch • Kerrie Mengersen
Dimensions: 254 x 178 x 31mm (L x W x T)
Format: Paperback - Trade
Pages: 520
ISBN-13: 978-0-691-13729-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Evolution
Promotions
LSN: 0-691-13729-3
Barcode: 9780691137292

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners