Design and Analysis of Ecological Experiments
Editorial Reviews
Book Description
Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments
in experimental ecology and statistical practice.
The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added.
Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including
exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current
edition.
Book Info
Essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology. DLC: Ecology-Statistical methods.
--This text refers to the
Paperback
edition.
Design and Analysis of Ecological Experiments,Samuel M. Scheiner,Jessica Gurevitch,Oxford University Press, USA,0195131886,Ecology,Experimental design,Life Sciences - Biology - General,Life Sciences - Ecology,Research & Methodology,Science,Science/Mathematics,Statistical methods,Ecological science, the Biosphere,Life Sciences | Ecology,Mathematics for scientists & engineers,Science / Ecology
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