Scheiner S.M., Scheiner J. (Eds.) Design and Analysis of Ecological Experiments

Oxford University Press – 2001, 432 pages.
ISBN: 0195131886, 9780195131888.
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.Theories, Hypotheses, and Statistics – Samuel M. Scheiner.
Power Analysis and Experimental Design – Robert J. Steidl and Len Thomas.
Exploratory Data Analysis and Graphic Display – Aaron M. Ellison.
ANOVA: Experimental Layout and Analysis – Catherine Potvin.
ANOVA and ANCOVA: Field Competition Experiments – Deborah E. Goldberg and Samuel M. Scheiner.
MANOVA: Multiple Response Variables and Multispecies Interactions – Samuel M. Scheiner.
ANCOVA: Nonparametric and Randomization Approaches – Peter S. Petraitis, Steven J. Beaupre, and Arthur E. Dunham.
Repeated-measures Analysis: Growth and Other Time-dependent Measures – Carl N. von Ende.
Time Series Intervention Analysis: Unreplicated Large-scale Experiments – Paul W. Rasmussen, Dennis M. Heisey, Erik V. Nordheim, and Thomas M. Frost.
Nonlinear Curve Fitting: Predation and Functional Response Curves - Steven A. Juliano.
Logit Modeling and Logistic Regression: Aphids, Ants, and Plants – Ted Floyd.
Path Analysis: Pollination – Randall J. Mitchell.
Failure-time Analysis: Studying Times to Events and Rates at Which Events Occur – Gordon A. Fox.
The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices – Philip M. Dixon.
Spatial Statistics: Analysis of Field Experiments – Jay M. Ver Hoef and Noel Cressie.
Mantel Tests: Spatial Structure in Field Experiments – Marie-Josee Fortin and Jessica Gurevitch.
Bayesian Statistics: Estimating Plant Demographic Parameters – James S. Clark and Michael Lavine.
Meta-analysis: Combining the Results of Independent Experiments – Jessica Gurevitch and Larry V. Hedges.