Millard EnvironmentalStats for S-Plus®

User’s Manual for Version 2.0
2. Auflage 2002
ISBN: 978-1-4613-0043-4
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 264 Seiten, eBook

EnvironmentalStats for S-PLUS is an add-on module to S-PLUS and the first comprehensive software package for environmental scientists, engineers, and regulators. EnvironmentalStats for S-PLUS provides a set of powerful yet simple-to-use pull-down menus and functions for performing graphical and statistical analyses of environmental data, parameter and quantile estimation, methods for dealing with non-detects, power and sample size calculations, prediction and tolerance intervals, and probabilistic risk assessment. EnvironmentalStats for S-PLUS includes an extensive hypertext help system that explains methods from the environmental literature and regulatory guidance documents, along with a glossary of commonly used statistical and environmental terms. This new edition of the User's Manual provides the documentation for Version 2.0 (which runs under S-PLUS 6.0), and includes extensive examples using data sets from regulatory guidance documents. All examples show how to produce the results by using the new pull-down menus or by calling functions from the command line.

Zielgruppe

Research

Autoren/Hrsg.

Millard, Steven P.

Inhaltsverzeichnis

1: Getting Started.- 1.1 Introduction.- 1.2 What is Environmental Statistics?.- 1.3 What is EnvironmentalStats for S-PLUS?.- 1.4 Intended Audience/Users.- 1.5 System Requirements.- 1.6 Installing EnvironmentalStats for S-PLUS.- 1.7 Starting EnvironmentalStats for S-PLUS.- 1.8 Getting Help.- 1.9 Customizing EnvironmentalStats for S-PLUS.- 1.10 Unloading EnvironmentalStats for S-PLUS.- 1.11 A Tutorial.- 1.12 Summary.- 2: Designing a Sampling Program.- 2.1 Introduction.- 2.2 The Necessity of a Good Sampling Design.- 2.3 What is a Population and What is a Sample?.- 2.4 Random versus Judgment Sampling.- 2.5 Common Mistakes in Environmental Studies.- 2.6 The Data Quality Objectives Process.- 2.7 Power and Sample Size Calculations.- 2.8 Sample Size Calculations for Confidence Intervals.- 2.9 Sample Size Calculations for Prediction Intervals.- 2.10 Sample Size Calculations for Tolerance Intervals.- 2.11 Sample Size and Power Calculations for Hypothesis Tests.- 2.12 Summary.- 3: Looking at Data.- 3.1 Introduction.- 3.2 EDA Using EnvironmentalStats for S-PLUS.- 3.3 Summary Statistics.- 3.4 Quantile or Empirical CDF Plots.- 3.5 Probability Plots or Quantile-Quantile (Q-Q) Plots.- 3.6 Box-Cox Data Transformations and Q-Q Plots.- 3.7 Summary.- 4: Probability Distributions.- 4.1. Introduction.- 4.2. Probability Density Function (PDF).- 4.3. Cumulative Distribution Function (CDF).- 4.4. Quantiles and Percentiles.- 4.5. Generating Random Numbers.- 4.6. Summary.- 5: Estimating Distribution Parameters and Quantiles.- 5.1. Introduction.- 5.2. Estimating Distribution Parameters.- 5.3. Estimating Distribution Quantiles.- 5.4. Summary.- 6: Prediction and Tolerance Intervals.- 6.1. Introduction.- 6.2. Prediction Intervals.- 6.3. Simultaneous Prediction Intervals.- 6.4. Tolerance Intervals.- 6.5. Summary.- 7: Hypothesis Tests.- 7.1. Introduction.- 7.2. Goodness-of-Fit Tests.- 7.3. One-, Two-, and k-Sample Comparison Tests.- 7.4. Testing for Serial Correlation.- 7.5. Testing for Trend.- 7.6. Summary.- 8: Censored Data.- 8.1. Introduction.- 8.2. Classification of Censored Data.- 8.3. Menu Items and Functions for Censored Data.- 8.4. Graphical Assessment of Censored Data.- 8.5. Estimating Distribution Parameters.- 8.6. Estimating Distribution Quantiles.- 8.7. Prediction and Tolerance Intervals.- 8.8. Hypothesis Tests.- 8.9. Summary.- 9: Monte Carlo Simulation and Risk Assessment.- 9.1. Introduction.- 9.2. Overview.- 9.3. Monte Carlo Simulation.- 9.4. Generating Random Numbers.- 9.5. Uncertainty and Sensitivity Analysis.- 9.6. Risk Assessment.- 9.7. Risk Assessment for Benzene-Contaminated Soil.- 9.8. Summary.- References.