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Statistics for Environmental Engineers, Second Edition - Hardcover - GOOD

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Brand
Unbranded
MPN
Does not apply
ISBN
9781566705929
Subject Area
Technology & Engineering, Science, Mathematics
Publication Name
Statistics for Environmental Engineers
Item Length
10.2 in
Publisher
CRC Press LLC
Subject
Environmental Science (See Also Chemistry / Environmental), Probability & Statistics / General, Environmental / General
Publication Year
2002
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
Paul Mac Berthouex, Linfield C. Brown
Item Width
7.3 in
Item Weight
36.9 Oz
Number of Pages
512 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1566705924
ISBN-13
9781566705929
eBay Product ID (ePID)
2286392

Product Key Features

Author
Paul Mac Berthouex, Linfield C. Brown
Publication Name
Statistics for Environmental Engineers
Format
Hardcover
Language
English
Subject
Environmental Science (See Also Chemistry / Environmental), Probability & Statistics / General, Environmental / General
Publication Year
2002
Type
Textbook
Subject Area
Technology & Engineering, Science, Mathematics
Number of Pages
512 Pages

Dimensions

Item Length
10.2 in
Item Height
1.2 in
Item Width
7.3 in
Item Weight
36.9 Oz

Additional Product Features

Edition Number
2
LCCN
2002-282889
Intended Audience
College Audience
Lc Classification Number
Td153
Edition Description
Revised Edition,New Edition
Table of Content
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 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 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 Parameter Estimates in Linear Models Precision of Parameter Estimates 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 OptimumConditions by Response Surface Methodology Designing Experiments for Nonlinear Parameter Estimation Why Linearization Can Bias Parameter Estimates A Problem in Fitting Models to Multiresponse Data Model Discrimination Data Adjustment for Process Rationalization How Measurement Errors are Transmitted into Calculated Values Using Simulations to Study Statistical Problems Introduction to Time Series Modeling Transfer Function Models Forecasting Time Series Intervention Analysis Appendix-Statistical Tables Index
Copyright Date
2002
Dewey Decimal
001.4/22/024628
Dewey Edition
21
Illustrated
Yes

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