Statistics for Environmental Engineers, Second Edition
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 en...
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2011
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oai:scholar.dlu.edu.vn:DLU123456789-262932012-03-03T05:13:04Z Statistics for Environmental Engineers, Second Edition Brown, Linfield C. Berthouex, Paul Mac Tin học 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 t 2011-10-25T01:15:24Z 2011-10-25T01:15:24Z 2002 Book 1-56670-592-4 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/26293 en application/pdf CRC Press LLC |
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Tin học Brown, Linfield C. Berthouex, Paul Mac Statistics for Environmental Engineers, Second Edition |
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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 t |
format |
Book |
author |
Brown, Linfield C. Berthouex, Paul Mac |
author_facet |
Brown, Linfield C. Berthouex, Paul Mac |
author_sort |
Brown, Linfield C. |
title |
Statistics for Environmental Engineers, Second Edition |
title_short |
Statistics for Environmental Engineers, Second Edition |
title_full |
Statistics for Environmental Engineers, Second Edition |
title_fullStr |
Statistics for Environmental Engineers, Second Edition |
title_full_unstemmed |
Statistics for Environmental Engineers, Second Edition |
title_sort |
statistics for environmental engineers, second edition |
publisher |
CRC Press LLC |
publishDate |
2011 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/26293 |
_version_ |
1819787184306126848 |