Table of Contents

Contributors
1: Samuel M. Scheiner: Theories, Hypotheses, and Statistics
2: Robert J. Steidl and Len Thomas: Power Analysis and Experimental Design
3: Aaron M. Ellison: Exploratory Data Analysis and Graphic Display
4: Catherine Potvin: ANOVA: Experimental Layout and Analysis
5: Deborah E. Goldberg and Samuel M. Scheiner: ANOVA and ANCOVA: Field Competition Experiments
6: MANOVA: Multiple Response Variables and Multispecies Interactions
7: Peter S. Petraitis et al: ANCOVA: Nonparametric and Randomization Approaches
8: Carl N. von Ende: Repeated-measures Analysis: Growth and Other Time-dependent Measures
9: Paul W. Rasmussen et al.: Time Series Intervention Analysis: Unreplicated Large-scale Experiments
10: Steven A. Juliano: Nonlinear Curve Fitting: Predation and Functional Response Curves
11: Ted Floyd: Logit Modeling and Logistic Regression: Aphids, Ants and Plants
12: Randall J. Mitchell: Path Analysis: Pollination
13: Gordon A. Fox: Failure-time Analysis: Studying Times to Events and Rates at Which Events Occur
14: Philip M. Dixon: The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices
15: Jay M. Ver Hoef and Noel Cressie: Spacial Statistics: Analysis of Field Experiments
16: Marie-Josee Fortin and Jessica Gurevitch: Mantel Tests: Spacial Structure in Field Experiments
17: James S. Clark and Michael Lavine: Bayesian Statistics: Estimating Plant Demographic Parameters
18: Jessica Gurevitch and Larry V. Hedges: Meta-analysis: Combining the Results of Independent Experiments
References
Index

Reviews

"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
"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