Design and Analysis of Ecological Experiments

✍ Scribed by Sam Scheiner (Author)

Publisher: Chapman and Hall/CRC
Year: 1998
Leaves: 460
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists, and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work,but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems, this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments, from setting them up to interpreting and reporting the results. An abundance of tools, including advanced approaches, are made available to ecologists in step-by-step examples, with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology.

✦ Table of Contents

1. Introduction: Theories, hypotheses, and statistics 2. Exploratory data analysis and graphic display 3. ANOVA: Experiments in controlled environment 4. ANOVA and ANCOVA: Field competition experiments 5. MANOVA: Multiple response variables and multispecies interactions 6. Repeated-measures analysis: Growth and other time-dependent measures 7. Time-series intervention analysis: Unreplicated large-scale experiments 8. Nonlinear curve fitting: Predation and functional response curves 9. Multiple regression: Herbivory 10. Path analysis: Pollination 11. Population sampling and bootstrapping in complex designs: Demographic analysis 12. Failure-time analysis: Emergence, flowering, survivorship, and other waiting times 13. The bootstrap and the jackknife: Describing the precision of ecological indices 14. Spatial statistics: Analysis of field experiments 15. Mantel tests: Spatial structure in field experiments 16. Model validation: Optimal foraging theory 17. Meta-analysis: Combining the results of independent experiments

📜 SIMILAR VOLUMES

Design and Analysis of Ecological Experi

📁 Design and Analysis of Ecological Experiments

✍ Samuel M. Scheiner, Jessica Gurevitch 📂 Library 📅 2001 🏛 Oxford University Press, USA 🌐 English

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 ex

Statistical Design And Analysis Of Biolo

📁 Statistical Design And Analysis Of Biological Experiments

✍ Hans-Michael Kaltenbach 📂 Library 📅 2021 🏛 Springer 🌐 English

This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving pre

Design and Analysis of Experiments

📁 Design and Analysis of Experiments

✍ Douglas C. Montgomery 📂 Library 📅 2004 🏛 Wiley 🌐 English

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in

Design and analysis of experiments

📁 Design and analysis of experiments

✍ Douglas C Montgomery 📂 Library 📅 1991 🏛 Wiley 🌐 English

Completely revised and expanded, this Third Edition maintains a balance between design and analysis topics, but includes new material and numerous updated examples. Added, expanded and reorganized chapters provide more in-depth treatment of 2k factorial and fractional factorial designs; brand new to

Design and Analysis of Experiments

📁 Design and Analysis of Experiments

✍ Angela Dean, Daniel Voss (eds.) 📂 Library 📅 1999 🏛 Springer-Verlag New York 🌐 English

<p>Our initial motivation for writing this book was the observation from various students that the subject of design and analysis of experiments can seem like “a bunch of miscellaneous topics. ”Webelievethattheidenti?cationoftheobjectivesoftheexperimentandthepractical considerations governing the de

Design and analysis of experiments

📁 Design and analysis of experiments

✍ Douglas C. Montgomery 📂 Library 📅 2020 🏛 Wiley 🌐 English

Design and Analysis of Experiments provides a rigorous introduction to product and process design improvement through quality and performance optimization. Clear demonstration of widely practiced techniques and procedures allows readers to master fundamental concepts, develop design and analysis ski