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EnvironmentalStats for S-Plus® User’s Manual for Version 2.0

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 stat...

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Bibliographic Details
Main Author: Millard, Steven P.
Format: eBook
Language:English
Published: New York, NY Springer New York 2002, 2002
Edition:2nd ed. 2002
Subjects:
Environment
Statistics 
Statistics For Engineering, Physics, Computer Science, Chemistry And Earth Sciences
Environment, General
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • 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
  • 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

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