Statistics for Environmental Engineers Book

1	Environmental Problems and Statistics	1
2	A Brief Review of Statistics	7
3	Plotting Data	25
4	Smoothing Data	35
5	Seeing the Shape of a Distribution	41
6	External Reference Distributions	49
7	Using Transformations	57
8	Estimating Percentiles	65
9	The Limit of Detection	71
10	Simple Methods for Analyzing Data that Are Below the Limit of Detection	81
11	Estimating the Mean of Censored Samples	91
12	Assessing Conformance with a Standard	97
13	Assessing the Average of Differences	103
14	Assessing the Difference of Two Averages	111
15	Assessing the Difference of Proportions	115
16	Multiple Paired Comparisons of k Averages	123
17	Analysis of Variance to Compare k Averages	129
18	Estimating Variance Components in Experimental Measurements	137
19	Multiple Factor Analysis of Variance	145
20	Factorial Experimental Designs	151
21	Fractional Factorial Experimental Designs	161
22	Screening of Important Variables	171
23	Correlation Coefficients	181
24	Assessing Serial Correlation	185
25	Estimating Parameters Using the Method of Least Squares	191
26	The Precision of Estimated Parameters	201
27	Calibration	213
28	Empirical Model Building by Linear Regression	221
29	The Coefficient of Determination, R[superscript 2]	229
30	Regression Analysis with Categorical Variables	235
31	The Effect of Autocorrelation on Regression	243
32	The Iterative Approach to Modeling	251
33	Seeking Optimum Conditions by Response Surface Methodology	257
34	Designing Experiments to Estimate Parameters in Nonlinear Models	265
35	Why Linearization Can Bias Parameter Estimates	273
36	Fitting Models to Multiresponse Data	279
37	A Problem in Model Discrimination	287
38	Adjustment of Survey Data	295
39	How Measurement Errors Are Transmitted into Calculated Values	301
40	Using Simulations to Study Statistical Problems	309
41	Intervention Analysis	315
	Appendix - Statistical Tables	325
	Index	329