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 and consistent approach to analysis of variance, with numerous clear examples.
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'As statistics texts go, this one is a veritable page-turner - sardonic in places, just plain funny in others, and engaging throughout ... the clarity of presentation, both rhetorical and logical, is so compelling, that nearly any reader will benefit from examining this volume.' Ted Floyd and Jessica Gurevitch, Trends in Ecology and Evolution
'... comprehensive and often exhaustive, but not exhausting, with many equations leavened by diagrams and graphs.' Simon S. Cross, Biologist
'The material in the book is complemental by the author's rich experience in ecology overthe past 20 years and serves as a reference for those wanting to conduct ecological experiments. there are some valuable insights contained in the book that would aid those involved in spatial and temporatl studies of landscapes and biological responses of different systems.' Journal of Environmental Qual
'Altogether a well-written book that will prove an invaluable resource for ecologists of all calibres.' Helgoländer Meeresuntersuchungen
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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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780521556965
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Zustand: New. 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. Artikel-Nr. 446939867
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