Environmental Statistics with R

Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field and now features the use of both R and S-Plus software. Continuing to emphasize log-normal distributions, censored data, and computing, the book includes additional material on equivalence testing. It also illustrates environmental sampling designs using the public domain package VSP. In addition, the authors provide a detailed discussion of spatial mapping procedures and spatial mapping analysis in R. Along with updated problem sets and new examples, this edition contains numerous new references that bring the research up to date.

- Introduction
- Designing a sampling program, part I
- Looking at data
- Probability distributions
- Estimating distribution parameters and quantiles
- Prediction intervals, tolerance intervals, and control charts
- Hypothesis tests
- Designing a sampling program, part II
- Linear models
- Censored data
- Time series analysis
- Spatial statistics
- Monte Carlo simulation and risk assessment

References
Index