Environmental Statistics and Data Analysis

Random Processes, Stochastic Processes in the Environment, Structure of the Book, Theory of Probability, Probability Concepts, Probability Laws, Conditional Probability and Bayes' Theorem, Summary, Problems, Probability Models, Discrete Probability Models, Continuous Random Variables, Moments, Expected Value, and Central Tendency, Variance, Kurtosis, and Skewness, Analysis of Observed Data, Summary, Problems, Bernoulli Processes, Conditions for Bernoulli Process, Development of Model, Binomial Distribution, Applications to Environmental Problems, Computation of B(n,p), Problems, Poisson Processes, Conditions for Poisson Process, Development of Model, Poisson Distribution, Examples, Applications to Environmental Problems, Computation of P(l,t) , Problems, Diffusion and Dispersion of Pollutants, Wedge Machine, Particle Frame Machine, Plume Model, Summary and Conclusions, Problems, Normal Processes, Conditions for Normal Process, Development of Model, Confidence Intervals, Applications to Environmental Problems, Computation of N(m,s) , Problems, Dilution of Pollutants, Deterministic Dilution, Stochastic Dilution, Applications to Environmental Problems, Summary and Conclusions, Problems, Lognormal Processes, Conditions for Lognormal Process, Development of Model, Lognormal Probability Model, Estimating Parameters of the Lognormal Distribution, Three-Parameter Lognormal Model, Statistical Theory of Rollback, Applications to Environmental Problems, Summary and Conclusions, Problems, Index