Synopses & Reviews
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.
Review
"The 18 chapters in this graduate textbook on advanced statistical techniques for ecologists describe such methods as power analysis, logistic regression, randomization tests, and empirical Bayesian analysis. The second edition reflects changes in statistical theory, and computer software and hardware capabilities."--SciTech Book News
Synopsis
This book focuses on the design and analysis of ecological experiments, concentrating on statistical approaches. Each chapter presents a particular statistical technique or set of techniques in the context of resolving an ecological issue. The first edition, published by Chapman and Hall in 1993, has sold about 4500 copies, and continues to sell. Chapters from the first edition have been substantially revised and new chapters have been added, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis.
Table of Contents
Contributors 1. Theories, Hypotheses, and Statistics, Samuel M. Scheiner
2. Power Analysis and Experimental Design, Robert J. Steidl and Len Thomas
3. Exploratory Data Analysis and Graphic Display, Aaron M. Ellison
4. ANOVA: Experimental Layout and Analysis, Catherine Potvin
5. ANOVA and ANCOVA: Field Competition Experiments, Deborah E. Goldberg and Samuel M. Scheiner
6. MANOVA: Multiple Response Variables and Multispecies Interactions
7. ANCOVA: Nonparametric and Randomization Approaches, Peter S. Petraitis et al
8. Repeated-measures Analysis: Growth and Other Time-dependent Measures, Carl N. von Ende
9. Time Series Intervention Analysis: Unreplicated Large-scale Experiments, Paul W. Rasmussen et al.
10. Nonlinear Curve Fitting: Predation and Functional Response Curves, Steven A. Juliano
11. Logit Modeling and Logistic Regression: Aphids, Ants and Plants, Ted Floyd
12. Path Analysis: Pollination, Randall J. Mitchell
13. Failure-time Analysis: Studying Times to Events and Rates at Which Events Occur, Gordon A. Fox
14. The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices, Philip M. Dixon
15. Spacial Statistics: Analysis of Field Experiments, Jay M. Ver Hoef and Noel Cressie
16. Mantel Tests: Spacial Structure in Field Experiments, Marie-Josee Fortin and Jessica Gurevitch
17. Bayesian Statistics: Estimating Plant Demographic Parameters, James S. Clark and Michael Lavine
18. Meta-analysis: Combining the Results of Independent Experiments, Jessica Gurevitch and Larry V. Hedges
References
Index