A Primer of Ecological Statistics
β Nicholas J. Gotelli, Aaron M. Ellison
π Library
π
2013
π English
β¦ LIBER β¦
π
A primer of ecological statistics
β Scribed by Ellison, Aaron M.;Gotelli, Nicholas J
- Publisher
- Sinauer Associates, Inc., Publishers
- Year
- 2018
- Tongue
- English
- Leaves
- 638
- Edition
- 2nd edition
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Ch. 1. An introduction to probability -- Ch. 2. Random variables and probability distributions -- Ch. 3. Summary statistics: measures of location and spread -- Ch. 4. Framing and testing hypotheses -- Ch. 5. Three frameworks for statistical analysis -- Ch. 6. Designing successful field studies -- Ch. 7. A bestiary of experimental and sampling designs -- Ch. 8. Managing and curating data -- Ch. 9. Regression -- Ch. 10. The analysis of variance -- Ch. 11. The analysis of categorical data -- Ch. 12. The analysis of multivariate data -- Ch. 13. The measurement of biodiversity -- Ch. 14. Detecting populations and estimating their size -- Appendix: Matrix algebra for ecologists.;A Primer of Ecological Statistics, Second Edition, explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject.
β¦ Table of Contents
Ch. 1. An introduction to probability --
Ch. 2. Random variables and probability distributions --
Ch. 3. Summary statistics: measures of location and spread --
Ch. 4. Framing and testing hypotheses --
Ch. 5. Three frameworks for statistical analysis --
Ch. 6. Designing successful field studies --
Ch. 7. A bestiary of experimental and sampling designs --
Ch. 8. Managing and curating data --
Ch. 9. Regression --
Ch. 10. The analysis of variance --
Ch. 11. The analysis of categorical data --
Ch. 12. The analysis of multivariate data --
Ch. 13. The measurement of biodiversity --
Ch. 14. Detecting populations and estimating their size --
Appendix: Matrix algebra for ecologists.
β¦ Subjects
EcologΓa--MΓ©todos estadΓsticos;Ecology--Statistical methods;EcologΓa -- MΓ©todos estadΓsticos;Ecology -- Statistical methods
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