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Environmental Statistics and Data Analysis
 
 
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Environmental Statistics and Data Analysis [Hardcover]

Wayne R. Ott (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

February 1, 1995 0873718488 978-0873718486 1
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.

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Environmental Statistics and Data Analysis + An Introduction to Bayesian Inference and Decision, Second Edition
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Editorial Reviews

Review

... provides a lucid explanation of how environmental processes can yield observations realized from various probability models, and hence gives better justification for their choice than empirical fit.
-Journal of the American Statistical Association

Product Details

  • Hardcover: 336 pages
  • Publisher: CRC-Press; 1 edition (February 1, 1995)
  • Language: English
  • ISBN-10: 0873718488
  • ISBN-13: 978-0873718486
  • Product Dimensions: 10 x 7.1 x 0.9 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,964,397 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful:
4.0 out of 5 stars The Environment is Stochastic, July 19, 2007
This review is from: Environmental Statistics and Data Analysis (Hardcover)
I've used this book to help analyze in-use emissions testing of diesel engines. With its help I was able to craft Excel spreadsheets and functions that got the job done. It is clear and easy to understand, but not inspired, hence only 4 stars.
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Inside This Book (learn more)
First Sentence:
The concept of "randomness," as used in common English, is different from its meaning in statistics. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
successive random dilutions, lognormal probability model, more exceedances, exponential probability model, wedge machine, rollback factor, final beaker, fewer exceedances, exceedance rate, unit uniform distribution, ozone air quality standard, daily exceedances, standard geometric deviation, urban arterial highway, arithmetic standard deviation, arithmetic parameters, particle arrivals, binomial probability model, ambient air quality data, one exceedance, linear scale plot, aerometric data, beaker example, expected exceedances, concentration time series
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Air Poll, Control Assoc, John Wiley, San Jose, Englewood Cliffs, Environmental Protection Agency, Central Limit Theorem, Research Triangle Park, First Course, Business Statistics, Stanford University, Statistical Theory of Rollback, Department of Statistics, San Francisco, Academic Press, Applied Statistics, Elementary Statistics, Monte Carlo, Continuous Univariate Distributions, Harcourt Brace Jovanovich, International Business Machines, Oxford University Press, Palo Alto, Proceedings of the Symposium
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