Statistics for Environmental Engineers.
Paul Mac Berthouex, Linfield C. Brown
490 pages, parution le 07/03/2002
(2eme édition)
Résumé
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:ú 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 chartsú Exercises for
classroom use or self-study in each chapterú Improved
graphicsú Revisions to all chaptersWhether the topic is
displaying data, t-tests, mechanistic model building,
nonlinear least squares, confidence intervals, regression,
or experimental design, the context is alwaysfamiliar 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.
Index
Contents
- Environmental Problems and Statistics
- A Brief Review of Statistics
- Plotting Data
- Smoothing Data
- Seeing the Shape of a Distribution
- External Reference Distributions
- Using Transformations
- Estimating Percentiles
- Accuracy, Bias, and Precision of Measurements
- Precision of Calculated Values
- Laboratory Quality Assurance
- Fundamentals of Process Control Charts
- Specialized Control Charts
- Limit of Detection
- Censored Data
- Comparing a Mean with a Standard
- Paired t -Test for Assessing the Average of Differences
- Independent t-Test for Assessing the Difference of Two Averages
- Assessing the Difference of Proportions
- Multiple Paired Comparison of k Averages
- Tolerance Intervals and Prediction Intervals
- 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
- Screening of Important Variables
- Analyzing Factorial Experiments by Regression
- Correlation
- Serial Correlation
- The Method of Least Squares
- Precision of Parameters in Linear Models
- Precision of Parameters in Nonlinear Models
- Calibration
- Weighted Least Squares
- Empirical Model Building by Linear Regression
- The Coefficient of Determination, R2
- Regression Analysis with Categorical Variables
- The Effect of Autocorrelation on Regression
- The Iterative Approach to Experimentation
- Seeking Optimal Conditions by Response Surface Methodology
- Designing Experiments for Nonlinear Parameter Estimation
- Why Linearization Can Bias Parameter Estimates
- Fitting Models to MultiresponseData
- Model Discrimination
- Data Adjustment for Process Rationalization
- How Measurement Errors Propagate into Calculated Values
- Using Simulations to Study Statistical Problems
- Introduction to Time Series Modeling
- Transfer Function Models
- Forecasting Time Series
- Intervention Analysis
Index
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Lewis |
| Auteur(s) | Paul Mac Berthouex, Linfield C. Brown |
| Parution | 07/03/2002 |
| Édition | 2eme édition |
| Nb. de pages | 490 |
| Format | 18 x 26 |
| Couverture | Relié |
| Poids | 1096g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781566705929 |
| ISBN13 | 978-1-56670-592-9 |
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