Environmental Statistics and Data Analysis

About this book

Contents include: Random Processes; Theory of Probability; Probability Models; Bernouilli Processes; Poisson Processes; Diffusion and Dispersion of Pollutants; Normal Processes; Dilution of Pollutants; Lognormal Processes.

Contents

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 Applicat ions 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

Customer Reviews