By: Jonathan Bart, Michael A Fligner and William I Notz
330 pages, 38 figs, 11 tabs
Written by a biologist and two statisticians, this book provides a rigorous discussion together with worked examples of statistical concepts and methods that are generally not covered in introductory courses, and which are consequently poorly understood and applied by field biologists. The first section reviews important issues such as defining the statistical population and the sampling plan when using non-random methods for sample selection, bias, interpretation of statistical tests, confidence intervals and multiple comparisons. After a detailed discussion of sampling methods and multiple regression, subsequent chapters discuss specialized problems such as pseudoreplication, and their solutions.
`The book is well-structured and statistical argumentation is illustrated with many biological examples. I recommend it strongly to biologists who are interested in learning what kind of problems can occur in the analysis of animal behaviour.' Ethology
'I found the book was clearly written and quite easy to read. There is a place for a book like this, and it will be useful to many ! ' David L. Thomson, Animal Behaviour 'The book is well-structured and statistical argumentation is illustrated with many biological examples. I recommend it strongly to biologists who are interested in learning what kind of problems can occur in the analysis of animal behaviour.' Ethology
1. Statistical analysis in behavioral ecology; 2. Estimation; 3. Tests and confidence intervals; 4. Survey sampling methods; 5. Regression; 6. Pseudoreplication; 7. Sampling behavior; 8. Monitoring abundance; 9. Capture-recapture; 10. Estimating survivorship; 11. Resource selection; 12. Other statistical methods; Appendix 1. Frequently used statistical methods; Appendix 2. Statistical tables; Appendix 3. Notes for Appendix 1; Bibliography, Index.
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I don't know how you got a book printed 26 years ago in the conditions that I received it (like new) but you do it! ABSOLUTELY AWESOME!
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