Environmental Statistics and Data Analysis

Wayne R. Ott

ISBN 10: 0873718488 / ISBN 13: 9780873718486

Published by Routledge, 1995

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This easy-to-understand introduction emphasizes the areas of probability theory and statistic that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, without omitting important details and assumptions. Topics include 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 distribution; and the two-and three-parameter lognormal distributions.

Seller Inventory # 9780873718486

Bibliographic Details

• Title: Environmental Statistics and Data Analysis
• Publisher: Routledge
• Publication Date: 1995
• Language: English
• ISBN 10: 0873718488
• ISBN 13: 9780873718486
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 22D millimeters 260 millimeters width by 183 millimeters height by 22 millimeters depth
• Weight: 821 grams

About this title

Synopsis

This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting important details and assumptions. Topics include 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. The author also presents the Statistical Theory of Rollback, which allows data analysts and regulatory officials to estimate the effect of different emission control strategies on environmental quality frequency distributions. Assuming only a basic knowledge of algebra and calculus, Environmental Statistics and Data Analysis provides an outstanding reference and collection of statistical procedures for analyzing environmental data and making accurate environmental predictions.

About the Author

Wayne R. Ott