Emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. This work covers topics including Bayes' Theorem, geometric distribution, computer simulation, histograms and frequency plots and Bernoulli processes. Num Pages: 336 pages, black & white illustrations. BIC Classification: JHBC; PBT; RN. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 254 x 178 x 19. Weight in Grams: 795. . 1994. 1st Edition. hardcover. . . . .

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Bibliographic Details

Title: Environmental Statistics and Data Analysis
Publisher: CRC Press
Publication Date: 1994
Language: English
ISBN 10: 0873718488
ISBN 13: 9780873718486
Binding: Hardcover
Edition: 1st Edition
Condition: New

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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.

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Wayne R. Ott

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