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The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online.
List of contents
1.Randomization
2.The Bootstrap
3.Monte Carlo Methods
4.Some General Considerations
5.One- and Two-Sample Tests
6.Analysis of Variance
7.Regression Analysis
8.Distance Matrices and Spatial Data
9.Other Analyses on Spatial Data
10.Time Series
11.Survival and Growth Data
12.Non-Standard Situations
13.Bayesian Methods
14.Conclusion and Final Comments
15.Appendix: Software for Computer-Intensive Statistics
About the author
Bryan F.J. Manly is an international expert on the analysis of data from environmental and ecological studies and also data from studies in other subject areas. He is the author of seven books on statistical methods, and is one of the two Chief Editors of the international journal, Environmental and Ecological Statistics.
Jorge A. Navarro Alberto is in the Department of Tropical Ecology at the Autonomous University of Yucatan, Mexico, with research interests in ecological and environmental statistics and computer-intensive methods. In particular, he has contributed to the development of randomization algorithms for the analysis of ecological data. He has more than thirty years of experience teaching statistics for biologists, marine biologists, and natural resource managers in Mexico, and also as a visiting professor at the Department of Mathematics and Statistics in the University of Wyoming.
Summary
The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online.
Additional text
"...This book deals with statistical data simulations in biology...It should be noted that the presentation of the book contains a lot of explanations and justifications that are not limited by mathematical formula. Thus, a biologist can easily understand the basic idea and approach of any statistical method discussed in the book...The book...is very well structured; the presentation of the material is clear and consistent. There are many illustrative examples and exercises. I enjoyed reading this book, and it is clearly included in the list of books that I highly recommend for study in the training of specialists in the field of biostatistics."- Taras Lukashiv, ISCB News, June 2021
