UID:
almahu_9948601517002882
Umfang:
XIII, 264 p. 31 illus.
,
online resource.
Ausgabe:
2nd ed. 2002.
ISBN:
9781461300434
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9780387953984
Weitere Ausg.:
Printed edition: ISBN 9781461300441
Sprache:
Englisch
DOI:
10.1007/978-1-4613-0043-4
URL:
https://doi.org/10.1007/978-1-4613-0043-4
