Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance / Edition 1

Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance / Edition 1

by A. J. Underwood
     
 

ISBN-10: 0521556961

ISBN-13: 9780521556965

Pub. Date: 05/28/2011

Publisher: Cambridge University Press

Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult. This book describes how to design ecological experiments from a statistical basis using analysis of variance, so reliable conclusions can be drawn. The logical procedures that lead to a need for experiments are…  See more details below

Overview

Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult. This book describes how to design ecological experiments from a statistical basis using analysis of variance, so reliable conclusions can be drawn. The logical procedures that lead to a need for experiments are described, followed by an introduction to simple statistical tests. This leads to a detailed account of analysis of variance, looking at procedures, assumptions, and problems. One-factor analysis is extended to nested (hierarchical) designs and factorial analysis. Finally, some regression methods for examining relationships between variables are covered. Examples of ecological experiments are used throughout to illustrate the procedures and examine problems. This book will be invaluable to practicing ecologists as well as advanced students involved in experimental design.

Product Details

ISBN-13:
9780521556965
Publisher:
Cambridge University Press
Publication date:
05/28/2011
Edition description:
New Edition
Pages:
524
Product dimensions:
5.98(w) x 8.98(h) x 1.18(d)

Table of Contents

1. Introduction; 2. A framework for investigating biological patterns and processes; 3. Populations, frequency distributions and samples; 4. Statistical tests of null hypotheses; 5. Statistical tests on samples; 6. Simple experiments comparing the means of two populations; 7. Analysis of variance; 8. More analysis of variance; 9. Nested analyses of variance; 10. Factorial experiments; 11. Construction of any analysis from general principles; 12. Some common and some particular experimental designs; 13. Analysis involving relationships among variables; 14. Conclusions: where to from here?

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