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Statistics for Environmental Engineers 2nd ed - Paul Mac Berthouex, Linfield C Brown (CRC, 2002) pdf

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 							ISBN 1-56670-592-4
  
  Two critical questions arise when one is confronted with a new problem that
involves the collection and analysis of data. How will the use of statistics help solve this problem? Which techniques
should be used? Statistics for Environmental Engineers, Second Edition helps environmental science and engineering
students answer these questions when the goal is to understand and design systems for environmental protection. The
second edition of this bestseller is a solutions-oriented text that encourages students to view statistics as a
problem-solving tool.
  
  Written in an easy-to-understand style, Statistics for Environmental Engineers,
Second Edition consists of 54 short, "stand-alone" chapters. All chapters address a particular environmental problem or
statistical technique and are written in a manner that permits each chapter to be studied independently and in any
order. Chapters are organized around specific case studies, beginning with brief discussions of the appropriate
methodologies, followed by analysis of the case study examples, and ending with comments on the strengths and weaknesses
of the approaches.
  
  New to this edition:
  
  Thirteen new chapters dealing with topics such as
experimental design, sizing experiments, tolerance and prediction intervals, time-series modeling and forecasting,
transfer function models, weighted least squares, laboratory quality assurance, and specialized control charts
 
Exercises for classroom use or self-study in each chapter
  Improved graphics
  Revisions to all chapters
  
  Whether the topic is displaying data, t-tests, mechanistic model building, nonlinear least squares,
confidence intervals, regression, or experimental design, the context is always familiar to environmental scientists and
engineers. Case studies are drawn from censored data, detection limits, regulatory standards, treatment plant
performance, sampling and measurement errors, hazardous waste, and much more. This revision of a classic text serves as
an ideal textbook for students and a valuable reference for any environmental professional working with numbers. 						

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