This book is about statistical issues and techniques that were either under used or misused by ecologists. It encourages the correct use of some of the more well known approaches, and to make some potentially very useful but less well known techniques available to ecologists.
This book is about statistical issues and techniques that were either under used or misused by ecologists. It encourages the correct use of some of the more well known approaches, and to make some potentially very useful but less well known techniques available to ecologists.
1. Introduction: Theories, hypotheses, and statistics 2. Exploratory data analysis and graphic display 3. ANOVA: Experiments in controlled environment 4. ANOVA and ANCOVA: Field competition experiments 5. MANOVA: Multiple response variables and multispecies interactions 6. Repeated-measures analysis: Growth and other time-dependent measures 7. Time-series intervention analysis: Unreplicated large-scale experiments 8. Nonlinear curve fitting: Predation and functional response curves 9. Multiple regression: Herbivory 10. Path analysis: Pollination 11. Population sampling and bootstrapping in complex designs: Demographic analysis 12. Failure-time analysis: Emergence, flowering, survivorship, and other waiting times 13. The bootstrap and the jackknife: Describing the precision of ecological indices 14. Spatial statistics: Analysis of field experiments 15. Mantel tests: Spatial structure in field experiments 16. Model validation: Optimal foraging theory 17. Meta-analysis: Combining the results of independent experiments
1. Introduction: Theories, hypotheses, and statistics 2. Exploratory data analysis and graphic display 3. ANOVA: Experiments in controlled environment 4. ANOVA and ANCOVA: Field competition experiments 5. MANOVA: Multiple response variables and multispecies interactions 6. Repeated-measures analysis: Growth and other time-dependent measures 7. Time-series intervention analysis: Unreplicated large-scale experiments 8. Nonlinear curve fitting: Predation and functional response curves 9. Multiple regression: Herbivory 10. Path analysis: Pollination 11. Population sampling and bootstrapping in complex designs: Demographic analysis 12. Failure-time analysis: Emergence, flowering, survivorship, and other waiting times 13. The bootstrap and the jackknife: Describing the precision of ecological indices 14. Spatial statistics: Analysis of field experiments 15. Mantel tests: Spatial structure in field experiments 16. Model validation: Optimal foraging theory 17. Meta-analysis: Combining the results of independent experiments
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