Statistics in Ecotoxicology
Samenvatting
Statistics in Ecotoxicology Edited by Tim Sparks Institute of Terrestrial Ecology, Cambridgeshire, UK A basic understanding of statistical concepts and methodology is essential for every research scientist. Statistics in Ecotoxicology is a comprehensive, well–illustrated text, tailored to meet the needs of all ecotoxicologists from undergraduates to professionals. Avoiding mathematical jargon, the book uses worked examples to enable the reader to understand the potential of, and limitations of, statistical analysis in both the planning and operation of laboratory and field ecotoxicological experiments. This informative and highly practical guide:
∗ provides an invaluable introduction to the quantitative methods for the analysis of ecotoxicological data;
∗ covers field experimentation, laboratory experimentation, regression methodology, multivariate methods and monitoring:
∗ incorporates essential tips to prevent many of the common design and analytical failings in ecotoxicology; and,
∗ includes case studies comprising of terrestrial, freshwater and marine examples.
Written by an international team of scientists, Statistics in Ecotoxicology will be essential reading for all ecotoxicologists.
Specificaties
Inhoudsopgave
<br />
<br /> Exploring the Data (D. French & D. Lindley).
<br />
<br /> Field Experiments (D. Gadsden & T. Sparks).
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<br /> The Analysis of Laboratory Toxicity Experiments (R. Meister & P. Van den Brink).
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<br /> Analysis of Field Studies: Regression Analysis (E. Smith & C. Anderson–Cook).
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<br /> Multivariate Techniques (A. Scott & R. Clarke).
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<br /> Environmental Monitoring: Investigating Associations and Trends (L. Conquest).
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<br /> Organochlorines in Bird of Prey Eggs: A Terrestrial Case Study (T. Sparks, et al.).
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<br /> Statistical Techniques for the Ecological Risk Assessment of Chemicals in Freshwaters (M. Crane, et al.).
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<br /> Trying to Detect Impacts in Marine Habitats: Comparisons with Suitable Reference Areas (A. Underwood).
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<br /> Appendices.
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<br /> Index.