Crucial to successful experiments in ecology is their logical planning and design. This book, first published in 1996, shows how to harness the power of statistical analysis in the complex experiments that ecologists carry out. The author offers a practical and consistent approach to analysis of variance, with numerous clear examples.
Crucial to successful experiments in ecology is their logical planning and design. This book, first published in 1996, shows how to harness the power of statistical analysis in the complex experiments that ecologists carry out. The author offers a practical and consistent approach to analysis of variance, with numerous clear examples.
1. Introduction 2. A framework for investigating biological patterns and processes 3. Populations, frequency distributions and samples 4. Statistical tests of null hypotheses 5. Statistical tests on samples 6. Simple experiments comparing the means of two populations 7. Analysis of variance 8. More analysis of variance 9. Nested analyses of variance 10. Factorial experiments 11. Construction of any analysis from general principles 12. Some common and some particular experimental designs 13. Analysis involving relationships among variables 14. Conclusions: where to from here?
1. Introduction 2. A framework for investigating biological patterns and processes 3. Populations, frequency distributions and samples 4. Statistical tests of null hypotheses 5. Statistical tests on samples 6. Simple experiments comparing the means of two populations 7. Analysis of variance 8. More analysis of variance 9. Nested analyses of variance 10. Factorial experiments 11. Construction of any analysis from general principles 12. Some common and some particular experimental designs 13. Analysis involving relationships among variables 14. Conclusions: where to from here?
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