Design and Analysis of Ecological Experiments

• Contributors1: Samuel M. Scheiner: Theories, Hypotheses, and Statistics2: Robert J. Steidl and Len Thomas: Power Analysis and Experimental Design3: Aaron M. Ellison: Exploratory Data Analysis and Graphic Display4: Catherine Potvin: ANOVA: Experimental Layout and Analysis5: Deborah E. Goldberg and Samuel M. Scheiner: ANOVA and ANCOVA: Field Competition Experiments6: MANOVA: Multiple Response Variables and Multispecies Interactions7: Peter S. Petraitis et al: ANCOVA: Nonparametric and Randomization Approaches8: Carl N. von Ende: Repeated-measures Analysis: Growth and Other Time-dependent Measures9: Paul W. Rasmussen et al.: Time Series Intervention Analysis: Unreplicated Large-scale Experiments10: Steven A. Juliano: Nonlinear Curve Fitting: Predation and Functional Response Curves11: Ted Floyd: Logit Modeling and Logistic Regression: Aphids, Ants and Plants12: Randall J. Mitchell: Path Analysis: Pollination13: Gordon A. Fox: Failure-time Analysis: Studying Times to Events and Rates at Which Events Occur14: Philip M. Dixon: The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices15: Jay M. Ver Hoef and Noel Cressie: Spacial Statistics: Analysis of Field Experiments16: Marie-Josee Fortin and Jessica Gurevitch: Mantel Tests: Spacial Structure in Field Experiments17: James S. Clark and Michael Lavine: Bayesian Statistics: Estimating Plant Demographic Parameters18: Jessica Gurevitch and Larry V. Hedges: Meta-analysis: Combining the Results of Independent ExperimentsReferencesIndex

"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