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Environmental Statistics and Data Analysis (Hardcover) Loot Price: R4,088
Discovery Miles 40 880
Environmental Statistics and Data Analysis (Hardcover): Wayne R. Ott

Environmental Statistics and Data Analysis (Hardcover)

Wayne R. Ott

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Loot Price R4,088 Discovery Miles 40 880 | Repayment Terms: R383 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United States
Release date: December 1994
First published: 1995
Authors: Wayne R. Ott
Dimensions: 254 x 178 x 29mm (L x W x T)
Format: Hardcover
Pages: 328
ISBN-13: 978-0-87371-848-6
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Earth & environment > The environment > General
Books > Social sciences > Sociology, social studies > Social research & statistics > General
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LSN: 0-87371-848-8
Barcode: 9780873718486

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