1 option
Environmental statistics with S-Plus / Steven P. Millard, Nagaraj K. Neerchal.
LIBRA GE45.S73 M55 2001
Available from offsite location
- Format:
- Book
- Author/Creator:
- Millard, Steven P.
- Series:
- Applied environmental statistics
- Language:
- English
- Subjects (All):
- Environmental sciences--Statistical methods--Data processing.
- Environmental sciences.
- S-Plus.
- Environmental sciences--Statistical methods.
- Physical Description:
- 830 pages : illustrations ; 24 cm.
- Other Title:
- Environmental statistics
- Place of Publication:
- Boca Raton : CRC Press, [2001]
- Summary:
- The combination of easy-to-use software with easy access to a description of the statistical methods (definitions, concepts, etc.) makes this book an excellent resource. One of the major features of this book is the inclusion of general information on environmental statistical methods and examples of how to implement these methods using the statistical software package S-Plus and the add-in modules EnvironmentalStats for S-Plus, S+SpatialStats, and S-Plus for ArcView.
- Contents:
- Environmental Science, Regulations, and Statistics 2
- Data Sets and Case Studies 10
- Software 11
- 2 Designing a Sampling Program, Part I 13
- The Basic Scientific Method 13
- What is a Population and What is a Sample? 15
- Random vs. Judgment Sampling 15
- The Hypothesis Testing Framework 16
- Common Mistakes in Environmental Studies 17
- The Data Quality Objectives Process 19
- Sources of Variability and Independence 24
- Methods of Random Sampling 26
- 3 Looking at Data 53
- Summary Statistics 53
- Graphs for a Single Variable 67
- Graphs for Two or More Variables 113
- 4 Probability Distributions 139
- What is a Random Variable? 139
- Discrete vs. Continuous Random Variable 140
- What is a Probability Distribution? 141
- Probability Density Function (PDF) 145
- Cumulative Distribution Function (CDF) 153
- Quantiles and Percentiles 158
- Generating Random Numbers from Probability Distributions 161
- Characteristics of Probability Distributions 162
- Important Distributions in Environmental Statistics 167
- Multivariate Probability Distributions 194
- 5 Estimating Distribution Parameters and Quantiles 201
- Methods for Estimating Distribution Parameters 201
- Using EnvironmentalStats for S-Plus to Estimate Distribution Parameters 215
- Comparing Different Estimators 219
- Accuracy, Bias, Mean Square Error, Precision, Random Error, Systematic Error, and Variability 225
- Parametric Confidence Intervals for Distribution Parameters 228
- Nonparametric Confidence Intervals Based on Bootstrapping 257
- Estimates and Confidence Intervals for Distribution Quantiles (Percentiles) 274
- A Cautionary Note about Confidence Intervals 289
- 6 Prediction Intervals, Tolerance Intervals, and Control Charts 295
- Prediction Intervals 296
- Simultaneous Prediction Intervals 320
- Tolerance Intervals 335
- Control Charts 353
- 7 Hypothesis Tests 365
- The Hypothesis Testing Framework 365
- Overview of Univariate Hypothesis Tests 371
- Goodness-of-Fit Tests 371
- Test of a Single Proportion 385
- Tests of Location 389
- Tests on Percentiles 409
- Tests on Variability 410
- Comparing Locations between Two Groups: The Special Case of Paired Differences 412
- Comparing Locations between Two Groups 415
- Comparing Two Proportions 441
- Comparing Variances between Two Groups 446
- The Multiple Comparisons Problem 450
- Comparing Locations between Several Groups 453
- Comparing Proportions between Several Groups 461
- Comparing Variability between Several Groups 462
- 8 Designing a Sampling Program, Part II 471
- Designs Based on Confidence Intervals 471
- Designs Based on Nonparametric Confidence, Prediction, and Tolerance Intervals 481
- Designs Based on Hypothesis Tests 485
- Optimizing a Design Based on Cost Considerations 521
- 9 Linear Models 527
- Covariance and Correlation 527
- Simple Linear Regression 539
- Regression Diagnostics 553
- Calibration, Inverse Regression, and Detection Limits 562
- Multiple Regression 575
- Dose-Response Models: Regression for Binary Outcomes 584
- Other Topics in Regression 588
- 10 Censored Data 593
- Classification of Censored Data 593
- Graphical Assessment of Censored Data 597
- Estimating Distribution Parameters 609
- Estimating Distribution Quantiles 636
- Prediction and Tolerance Intervals 637
- Hypothesis Tests 640
- A Note about Zero-Modified Distributions 645
- 11 Time Series Analysis 647
- Creating and Plotting Time Series Data 647
- Autocorrelation 651
- Dealing with Autocorrelation 669
- More Complicated Models: Autoregressive and Moving Average Processes 671
- Estimating and Testing for Trend 672
- 12 Spatial Statistics 693
- Overview: Types of Spatial Data 693
- The Benthic Data 694
- Models for Geostatistical Data 700
- Modeling Spatial Correlation 703
- Prediction for Geostatistical Data 721
- Using S-Plus for ArcView GIS 727
- 13 Monte Carlo Simulation and Risk Assessment 735
- Monte Carlo Simulation 736
- Generating Random Numbers 741
- Uncertainty and Sensitivity Analysis 748
- Risk Assessment 758.
- Notes:
- Includes bibliographical references (pages 779-816) and index.
- ISBN:
- 0849371686
- OCLC:
- 44550619
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.