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

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9780521553292: Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance

Synopsis

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.

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Book Description

Experiments in ecology require careful planning to produce data that can be used correctly in statistical tests. Analysis of variance is an important set of tests which allow attention to be focussed on details of experimental design, such as the effect of different fertilizer treatments. This book introduces the need for a logical structure to experiments, describes procedures and explains the problems. All ecologists involved in fieldwork as advanced students or researchers will find this practical approach to statistics of great value.

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.

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  • PublisherCambridge University Press
  • Publication date1997
  • ISBN 10 0521553296
  • ISBN 13 9780521553292
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages524
  • Rating
    • 3.64 out of 5 stars
      14 ratings by Goodreads

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Hardcover. Condition: new. Hardcover. 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. Crucial to successful experiments in ecology is their logical planning and design. This book shows how to harness the power of statistical analysis in the experiments that ecologists carry out. The author offers an approach to analysis of variance, with numerous clear examples. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780521553292

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Hardcover. Condition: new. Hardcover. 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. Crucial to successful experiments in ecology is their logical planning and design. This book shows how to harness the power of statistical analysis in the experiments that ecologists carry out. The author offers an approach to analysis of variance, with numerous clear examples. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521553292

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Crucial to successful experiments in ecology is their logical planning and design. This book, first published in 1996, shows how to harness the power of statistical analysis in the complex experiments that ecologists carry out. The author offers a practical. Seller Inventory # 446939712

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