Statistics for Environmental Engineers

ISBN-10: 1566705924

ISBN-13: 9781566705929

Edition: 2nd 2002 (Revised)

Authors: Paul Mac Berthouex, Linfield C. Brown

List price: $125.95
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The second edition of this bestseller serves as an ideal textbook for students and a valuable reference for environmental scientists and engineers. 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.
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Book details

List price: $125.95
Edition: 2nd
Copyright year: 2002
Publisher: CRC Press LLC
Publication date: 1/29/2002
Binding: Hardcover
Pages: 512
Size: 7.00" wide x 10.00" long x 1.25" tall
Weight: 2.442
Language: English

Environmental Problems and 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
Analyzing 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 Comparisons 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
Serial Correlation
The Method of Least Squares
Precision of Parameter Estimates in Linear Models
Precision of Parameter Estimates in Nonlinear Models
Weighted Least Squares
Empirical Model Building by Linear Regression
The Coefficient of Determination, R[superscript 2]
Regression Analysis with Categorical Variables
The Effect of Autocorrelation on Regression
The Iterative Approach to Experimentation
Seeking Optimum Conditions by Response Surface Methodology
Designing Experiments for Nonlinear Parameter Estimation
Why Linearization Can Bias Parameter Estimates
Fitting Models to Multiresponse Data
A Problem in Model Discrimination
Data Adjustment for Process Rationalization
How Measurement Errors Are Transmitted into Calculated Values
Using Simulation to Study Statistical Problems
Introduction to Time Series Modeling
Transfer Function Models
Forecasting Time Series
Intervention Analysis
Statistical Tables
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