Design and Analysis of Ecological Experiments
Language: English
Published by Oxford University Press, U.S.A., 2001
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- Title
- Design and Analysis of Ecological Experiments
- Publisher
- Oxford University Press, U.S.A.
- Publication year
- 2001
- Condition
- Acceptable
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0195131886
- ISBN 13
- 9780195131888
- Edition
- 2nd Edition
Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice.
The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.
The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.
"Synopsis" may belong to another edition of this title.
About the Author
Samuel M. Scheiner is at Arizona State University. Jessica Gurevitch is at SUNY at Stony Brook.
"About the title" may belong to another edition of this title.
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