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

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Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult. The statistical tests we use require data to be collected carefully and with proper regard to the needs of these tests. This book describes how to design ecological experiments from a statistical basis using analysis of variance so that we can draw reliable conclusions. 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 practising ecologists in addition to advanced students involved in experimental design.
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Editorial Reviews

From the Publisher
"...this book is important for ecologists to read...We do however need the methods of statistical inference to help sort out the details of ecological problems, and Underwood's important contribution in this book is to help convince us that the ecological devil is in the details." Charles J. Krebs, Revue Des Livres

"There are some valuable insights contained in the book that would aid those involved in spatial and temporal studies of landscapes and biological responses of different systems. The regression approaches to analyze the relationships among variables are quite detailed and insightful. It serves as a good reference on analysis of variance...." J. Environ. Qual

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Product Details

  • ISBN-13: 9780521553292
  • Publisher: Cambridge University Press
  • Publication date: 12/12/1996
  • Pages: 524
  • Product dimensions: 5.98 (w) x 8.98 (h) x 1.30 (d)

Table of Contents

1 Introduction 1
2 A framework for investigating biological patterns and processes 7
3 Populations, frequency distributions and samples 24
4 Statistical tests of null hypotheses 50
5 Statistical tests on samples 65
6 Simple experiments comparing the means of two populations 100
7 Analysis of variance 140
8 More analysis of variance 198
9 Nested analyses of variance 243
10 Factorial experiments 296
11 Construction of any analysis from general principles 358
12 Some common and some particular experimental designs 385
13 Analyses involving relationships among variables 419
14 Conclusions: where to from here? 478
References 486
Author index 496
Subject index 499
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