Description |
489 pages : illustrations ; 27 cm |
Contents |
Machine derived contents note: 1 Environmental Problems and Statistics -- -- 2 A Brief Review of Statistics -- -- 3 Plotting Data -- -- 4 Smoothing Data -- -- 5 Seeing the Shape of a Distribution -- -- 6 External Reference Distributions -- -- 7 Using Transformations -- -- 8 Estimating Percentiles -- -- 9 Accuracy, Bias, and Precision of Measurements -- -- 10 Precision of Calculated Values -- -- 11 Laboratory Quality Assurance -- -- 12 Fundamentals of Process Control Charts -- -- 13 Specialized Control Charts -- -- 14 Limit of Detection -- -- 15 Analyzing Censored Data -- -- 16 Comparing a Mean with a Standard -- -- 17 Paired t-Test for Assessing the Average of Differences -- -- 18 Independent t-Test for Assessing the Difference of Two Averages -- -- 19 Assessing the Difference of Proportions -- -- 20 Multiple Paired Comparisons of k Averages -- -- -- -- 21 Tolerance Intervals and Prediction Intervals -- -- 22 Experimental Design -- -- 23 Sizing the Experiment -- -- 24 Analysis of Variance to Compare k Averages -- -- 25 Components of Variance -- -- 26 Multiple Factor Analysis of Variance -- -- 27 Factorial Experimental Designs -- -- 28 Fractional Factorial Experimental Designs -- -- 29 Screening of Important Variables -- -- 30 Analyzing Factorial Experiments by Regression -- -- 31 Correlation -- -- 32 Serial Correlation -- -- 33 The Method of Least Squares -- -- 34 Precision of Parameter Estimates in Linear Models -- -- 35 Precision of Parameter Estimates in Nonlinear Models -- -- 36 Calibration -- -- 37 Weighted Least Squares -- -- 38 Empirical Model Building by Linear Regression -- -- 39 The Coefficient of Determination, R2 -- -- 40 Regression Analysis with Categorical Variables -- -- 41 The Effect of Autocorrelation on Regression -- -- 42 The Iterative Approach to Experimentation -- -- 43 Seeking Optimum Conditions by Response Surface Methodology -- -- -- -- 44 Designing Experiments for Nonlinear Parameter Estimation -- -- 45 Why Linearization Can Bias Parameter Estimates -- -- 46 Fitting Models to Multiresponse Data -- -- 47 A Problem in Model Discrimination -- -- 48 Data Adjustment for Process Rationalization -- -- 49 How Measurement Errors Are Transmitted into Calculated Values -- -- 50 Using Simulation to Study Statistical Problems -- -- 51 Introduction to Time Series Modeling -- -- 52 Transfer Function Models -- -- 53 Forecasting Time Series -- -- 54 Intervention Analysis -- -- Appendix - Statistical Tables |
Analysis |
Environment Statistics |
Bibliography |
Includes bibliographical references and index |
Notes |
Also available online |
Subject |
Environmental engineering -- Statistical methods.
|
Author |
Brown, Linfield C.
|
LC no. |
2002282889 |
ISBN |
1566705924 |
|