Design and Analysis of Ecological Experiments by Samuel M. Scheiner (English) Pa

Publisher 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 statisticaltechniques 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 areintroduced 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 researchecologists will find a great deal of new practical and useful information in this current edition.

Table of Contents

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: Samuel M. Scheiner: 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 Logisitic Regression: Aphids, ANts and Plants12: Randall J. Mitchell: Path Analysis: Pollination13: Gordon A. Fox: Failed-time Analysis: Studying TImesto 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: Spatial Statistics: Analysis of Field Experiments16: Marie-Josee Fortin and Jessica Gurvitch: Mantel Tests: Spacial Structure in Field Experiments17: James S. Clark and Michael Lavine: Payesian Statistics: Estimating Plant Demographic Parameters18: Jessica Gurevitch and Larry V. Hedges: Meta-analysis: Combining the Results of Independent ExperimentsReferencesIndex

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"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

Long 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.

Review Text

"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

Review Quote

"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 andhardware capabilities."--SciTech Book News

Promotional "Headline"

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. Samuel M. Scheiner: 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 Logisitic Regression: Aphids, ANts and Plants 12. Randall J. Mitchell: Path Analysis: Pollination 13. Gordon A. Fox: Failed-time Analysis: Studying TImesto 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: Spatial Statistics: Analysis of Field Experiments 16. Marie-Josee Fortin and Jessica Gurvitch: Mantel Tests: Spacial Structure in Field Experiments 17. James S. Clark and Michael Lavine: Payesian Statistics: Estimating Plant Demographic Parameters 18. Jessica Gurevitch and Larry V. Hedges: Meta-analysis: Combining the Results of Independent Experiments References Index

Details