Download PDF Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance, by A. J. Underwood
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Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance, by A. J. Underwood
Download PDF Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance, by A. J. Underwood
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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. 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.
- Sales Rank: #1104150 in Books
- Published on: 1997-01-28
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x 1.18" w x 5.98" l, 1.75 pounds
- Binding: Paperback
- 524 pages
Review
"...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
From the Back Cover
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Faculty choice
By Carla R. Robinson
I ordered this book because one of my faculty patrons requested it to put on Reserve for his class.
10 of 10 people found the following review helpful.
good to read, great to review
By A Customer
This is really an excellent book. Concepts are presented in a straightforward and intuitive way. This is great for getting concepts the first time and also works really well as a review/reference text. Anyone who has felt frustrated while using Biometry (Sokal and Rohlf) to learn an unfamiliar statistical concept related to ANOVA should consider this book. It is a good complementary text to that one.
0 of 0 people found the following review helpful.
Very reader-friendly, real-world examples
By Brenna Bulach
This book is great. It was recommended for my biostatistics class and this was a fantastic reference. I used it all throughout my Master's thesis...Underwood writes very clearly and uses real-world examples to explain everything.
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