Environmental Statistics and Data Analysis

This easy-to-understand introduction emphasizes the areas of probability theory and statistics important in environmental monitoring data analysis research environmental field surveys and environmental decision making. It communicates basic statistical theory and includes Bayes' Theorem geometric distribution computer simulation histograms and frequency plots maximum likelihood estimation the tail exponential method Bernoulli processes Poisson processes diffusion and dispersion of pollutants normal distribution confidence intervals and stochastic dilution; gamma chi-square and Weibull distributions; and the two- and three-parameter lognormal distributions. <p/>Catalog Copy II