Statistics for environmental engineers

著者

書誌事項

Statistics for environmental engineers

Paul Mac Berthouex, Linfield C. Brown

Lewis, c2002

2nd ed

大学図書館所蔵 件 / 全5件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

Chapter topics include: Environmental Problems and Statistics. A Brief Review of Statistics. Plotting Data. Smoothing Data. Seeing the Shape of a Distribution. External Reference Distributions. Accuracy, Bias, and Precision of Measurements. Precision of Calculated Values. Fundamentals of Process Control Charts. Specialized Control Charts. Limit of Detection. Censored Data. Paired t -Test for Assessing the Average of Differences. Independent t-Test for Assessing the Difference of Two Averages. Multiple Paired Comparison of k Averages. Experimental Design. Sizing the Experiment. Analysis of Variance to Compare k Averages. Components of Variance. Multiple Factor Analysis of Variance. Factorial Experimental Designs. Fractional Factorial Experimental Designs.Correlation. Serial Correlation. The Method of Least Squares. Precision of Parameters in Linear Models. Precision of Parameters in Nonlinear Models. Weighted Least Squares. Empirical Model Building by Linear Regression. The Coefficient of Determination, R2. Data Adjustment for Process Rationalization. How Measurement Errors Propagate into Calculated Values. Using Simulations to Study Statistical Problems. Introduction to Time Series Modeling. Forecasting Time Series. Intervention Analysis. Appendix-Statistical Tables.

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