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Statistics for environmental science and management / Bryan F.J. Manly.

By: Material type: TextTextSeries: Applied environmental statisticsPublisher: Boca Raton : Chapman & Hall/CRC, [2009]Copyright date: ©2009Edition: Second editionDescription: xiv, 295 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 142006147X
  • 9781420061475
Subject(s): DDC classification:
  • 628.015195 22
LOC classification:
  • GE45.S73 M36 2009
Contents:
1. The Role of Statistics in Environmental Science -- 1.1. Introduction -- 1.2. Some Examples -- 1.3. The Importance of Statistics in the Examples -- 1.4. Chapter Summary -- 2. Environmental Sampling -- 2.1. Introduction -- 2.2. Simple Random Sampling -- 2.3. Estimation of Population Means -- 2.4. Estimation of Population Totals -- 2.5. Estimation of Proportions -- 2.6. Sampling and Nonsampling Errors -- 2.7. Stratified Random Sampling -- 2.8. Post-Stratification -- 2.9. Systematic Sampling -- 2.10. Other Design Strategies -- 2.11. Ratio Estimation -- 2.12. Double Sampling -- 2.13. Choosing Sample Sizes -- 2.14. Unequal-Probability Sampling -- 2.15. The Data Quality Objectives Process -- 2.16. Chapter Summary -- 3. Models for Data -- 3.1. Statistical Models -- 3.2. Discrete Statistical Distributions -- 3. 3Continuous Statistical Distributions -- 3.4. The Linear Regression Model -- 3. 5Factorial Analysis of Variance -- 3.6. Generalized Linear Models -- 3.7. Chapter Summary -- 4. Drawing Conclusions from Data -- 4.1. Introduction -- 4.2. Observational and Experimental Studies -- 4.3. True Experiments and Quasi-Experiments -- 4.4. Design-Based and Model-Based Inference -- 4.5. Tests of Significance and Confidence Intervals -- 4.6. Randomization Tests -- 4.7. Bootstrapping -- 4.8. Pseudoreplication -- 4.9. Multiple Testing -- 4.10. Meta-Analysis -- 4.11. Bayesian Inference -- 4.12. Chapter Summary -- 5. Environmental Monitoring -- 5.1. Introduction -- 5. 2Purposely Chosen Monitoring Sites -- 5.3. Two Special Monitoring Designs -- 5.4. Designs Based on Optimization -- 5.6. Monitoring Designs Typically Used -- 5.7. Detection of Changes by Analysis of Variance -- 5.8. Detection of Changes Using Control Charts -- 5.9. Detection of Changes Using CUSUM Charts -- 5.10. Chi-Squared Tests for a Change in a Distribution -- 5.11. Chapter Summary -- 6. Impact Assessment -- 6.1. Introduction -- 6.2. The Simple Difference Analysis with BACI Designs -- 6.3. Matched Pairs with a BACI Design -- 6.4. Impact-Control Designs -- 6.5. Before - After Designs -- 6.6. Impact-Gradient Designs -- 6.7. Inferences from Impact Assessment Studies -- 6.8. Chapter Summary -- 7. Assessing Site Reclamation -- 7.1. Introduction -- 7.2. Problems with Tests of Significance -- 7.3. The Concept of Bioequivalence -- 7.4. Two-Sided Tests of Bioequivalence -- 7.5. Chapter Summary -- 8. Time Series Analysis -- 8.1. Introduction -- 8.2. Components of Time Series -- 8.3. Serial Correlation -- 8.4. Tests for Randomness -- 8.5. Detection of Change Points and Trends -- 8.6. More-Complicated Time Series Models -- 8.7. Frequency Domain Analysis -- 8.8. Forecasting -- 8.9. Chapter Summary -- 9. Spatial-Data Analysis -- 9.1. Introduction -- 9.2. Types of Spatial Data -- 9.3. Spatial Patterns in Quadrat Counts -- 9.4. Correlation between Quadrat Counts -- 9.5. Randomness of Point Patterns -- 9.6. Correlation between Point Patterns -- 9.7. Mantel Tests for Autocorrelation -- 9.8. The Variogram -- 9.9. Kriging -- 9.10. Correlation between Variables in Space -- 9.11. Chapter Summary -- 10. Censored Data -- 10.1. Introduction -- 10.2. Single Sample Estimation -- 10.3. Estimation of Quantiles -- 10.4. Comparing the Means of Two or More Samples -- 10.5. Regression with Censored Data -- 10.6. Chapter Summary -- 11. Monte Carlo Risk Assessment -- 11.1. Introduction -- 11.2. Principles for Monte Carlo Risk Assessment -- 11.3. Risk Analysis Using a Spreadsheet -- 11.4. Chapter Summary -- 12. Final Remarks.
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Includes bibliographical references (pages 279-290) and index.

1. The Role of Statistics in Environmental Science -- 1.1. Introduction -- 1.2. Some Examples -- 1.3. The Importance of Statistics in the Examples -- 1.4. Chapter Summary -- 2. Environmental Sampling -- 2.1. Introduction -- 2.2. Simple Random Sampling -- 2.3. Estimation of Population Means -- 2.4. Estimation of Population Totals -- 2.5. Estimation of Proportions -- 2.6. Sampling and Nonsampling Errors -- 2.7. Stratified Random Sampling -- 2.8. Post-Stratification -- 2.9. Systematic Sampling -- 2.10. Other Design Strategies -- 2.11. Ratio Estimation -- 2.12. Double Sampling -- 2.13. Choosing Sample Sizes -- 2.14. Unequal-Probability Sampling -- 2.15. The Data Quality Objectives Process -- 2.16. Chapter Summary -- 3. Models for Data -- 3.1. Statistical Models -- 3.2. Discrete Statistical Distributions -- 3. 3Continuous Statistical Distributions -- 3.4. The Linear Regression Model -- 3. 5Factorial Analysis of Variance -- 3.6. Generalized Linear Models -- 3.7. Chapter Summary -- 4. Drawing Conclusions from Data -- 4.1. Introduction -- 4.2. Observational and Experimental Studies -- 4.3. True Experiments and Quasi-Experiments -- 4.4. Design-Based and Model-Based Inference -- 4.5. Tests of Significance and Confidence Intervals -- 4.6. Randomization Tests -- 4.7. Bootstrapping -- 4.8. Pseudoreplication -- 4.9. Multiple Testing -- 4.10. Meta-Analysis -- 4.11. Bayesian Inference -- 4.12. Chapter Summary -- 5. Environmental Monitoring -- 5.1. Introduction -- 5. 2Purposely Chosen Monitoring Sites -- 5.3. Two Special Monitoring Designs -- 5.4. Designs Based on Optimization -- 5.6. Monitoring Designs Typically Used -- 5.7. Detection of Changes by Analysis of Variance -- 5.8. Detection of Changes Using Control Charts -- 5.9. Detection of Changes Using CUSUM Charts -- 5.10. Chi-Squared Tests for a Change in a Distribution -- 5.11. Chapter Summary -- 6. Impact Assessment -- 6.1. Introduction -- 6.2. The Simple Difference Analysis with BACI Designs -- 6.3. Matched Pairs with a BACI Design -- 6.4. Impact-Control Designs -- 6.5. Before - After Designs -- 6.6. Impact-Gradient Designs -- 6.7. Inferences from Impact Assessment Studies -- 6.8. Chapter Summary -- 7. Assessing Site Reclamation -- 7.1. Introduction -- 7.2. Problems with Tests of Significance -- 7.3. The Concept of Bioequivalence -- 7.4. Two-Sided Tests of Bioequivalence -- 7.5. Chapter Summary -- 8. Time Series Analysis -- 8.1. Introduction -- 8.2. Components of Time Series -- 8.3. Serial Correlation -- 8.4. Tests for Randomness -- 8.5. Detection of Change Points and Trends -- 8.6. More-Complicated Time Series Models -- 8.7. Frequency Domain Analysis -- 8.8. Forecasting -- 8.9. Chapter Summary -- 9. Spatial-Data Analysis -- 9.1. Introduction -- 9.2. Types of Spatial Data -- 9.3. Spatial Patterns in Quadrat Counts -- 9.4. Correlation between Quadrat Counts -- 9.5. Randomness of Point Patterns -- 9.6. Correlation between Point Patterns -- 9.7. Mantel Tests for Autocorrelation -- 9.8. The Variogram -- 9.9. Kriging -- 9.10. Correlation between Variables in Space -- 9.11. Chapter Summary -- 10. Censored Data -- 10.1. Introduction -- 10.2. Single Sample Estimation -- 10.3. Estimation of Quantiles -- 10.4. Comparing the Means of Two or More Samples -- 10.5. Regression with Censored Data -- 10.6. Chapter Summary -- 11. Monte Carlo Risk Assessment -- 11.1. Introduction -- 11.2. Principles for Monte Carlo Risk Assessment -- 11.3. Risk Analysis Using a Spreadsheet -- 11.4. Chapter Summary -- 12. Final Remarks.

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