Quantitative Ecotoxicology

Michael C. Newman

• Publisher: CRC Press
• Year: 2012
• Print ISBN: 9781439835647
• eBook ISBN: 9781439835654
• Edition: 2
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

Quantitative Ecotoxicology, Second Edition explores models and methods of quantitative ecotoxicology at progressively higher biological scales using worked examples and common software packages. It complements the author's previous books, Fundamentals of Ecotoxicology, Third Edition and Ecotoxicology: A Comprehensive Treatment. Encouraging a more r

Table of contents

• Front Cover
• Contents
• Preface
• Acknowledgments
• About the Author
• Chapter 1 - Introduction
• Chapter 2 - The Measurement Process
• Chapter 3 - Bioaccumulation
• Chapter 4 - Lethal and Other Quantal Responses to Stress
• Chapter 5 - Statistical Tests for Detection of Chronic Lethal and Sublethal Stress
• Chapter 6 - Population and Metapopulation Effects
• Chapter 7 - Community Effects
• Chapter 8 - Summary
• Appendix 1: Factors for Estimating Standard Deviation and Control Limits for Range
• Appendix 2: One-Sample Tolerance Probability Comparisons between nm* and nm
• Appendix 3: Critical Values of T Used to Test for Single Outliers (One-Sided Test)
• Appendix 4: Critical Values for λ Used to Test for Multiple Outliers (α = 0.05)
• Appendix 5: Response Metameters for Proportion Affected
• Appendix 6: Maximum Likelihood Values for Dixon’s Up-and-Down Method
• Appendix 7: E Values Used to Estimate 95% Confidence Intervals for LT50 with the Litchfield Method
• Appendix 8: Coefficients (an–i+1) for Shapiro–Wilk’s Test for Normality
• Appendix 9: Percentage Points of Shapiro–Wilk’s W Test for Normality
• Appendix 10: Dunnett’s t for One-Sided Comparisons between p Treatment Means and a Control for α = 0.05
• Appendix 11: Dunnett’s t for Two-Sided Comparisons between p Treatment Means and a Control for α = 0.05
• Appendix 12: Bonferroni’s Adjusted t Values for One-Sided Test and α = 0.01
• Appendix 13: Bonferroni’s Adjusted t Values for One-Sided Test and α = 0.05
• Appendix 14: Bonferroni’s Adjusted t Values for Two-Sided Test and α = 0.01
• Appendix 15: Bonferroni’s Adjusted t Values for Two-Sided Test and α = 0.05
• Appendix 16: Dunn–Šidák’s t for Comparisons between p Treatment Means and a Control for α = 0.01, 0.05, 0.10, and 0.20 (One-Sided Test)
• Appendix 17: Dunn–Šidák’s t for Comparisons between p Treatment Means and a Control for α = 0.01, 0.05, 0.10, and 0.20 (Two-Sided Test)
• Appendix 18: Williams’s ti,α for w = 1 and Extrapolation βt (Superscript) for a One-Sided Test and α = 0.01
• Appendix 19: Williams’s ti,α for w = 1 and Extrapolation βt (Superscript) for a One-Sided Test and α = 0.05
• Appendix 20: Williams’s ti,α for w = 1 and Extrapolation βt (Superscript) for a Two-Sided Test and α = 0.01
• Appendix 21: Williams’s ti,α for w = 1 and Extrapolation βt (Superscript) for a Two-Sided Test and α = 0.05
• Appendix 22: Significant Values of Steel’s Rank Sums for a One-Sided Test with α = 0.05 or 0.01
• Appendix 23: Significant Values of Steel’s Rank Sums for a Two-Sided Test with α = 0.05 or 0.01
• Appendix 24: Wilcoxon (Mann–Whitney) Rank-Sum Test Critical Values with Bonferroni’s Adjustments: One-Sided Test and α = 0.05
• Appendix 25: Wilcoxon Rank-Sum Test Critical Values with Bonferroni’s Adjustments: Two-Sided Test and α = 0.05
• Appendix 26: SAS Code for Implementing the Jonckheere–Terpstra Test
• Appendix 27: Balancing α, β, and Effect Size (ES)
• Appendix 28: Basic Matrix Methods
• Appendix 29: Values of θ Used for Maximum Likelihood Estimation of Mean and Standard Deviation of Truncated Data
• Back Cover