USGS: OPR-PPR
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Title
| OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (report) |
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Author
| Tonkin, M.J., Tiedeman C. R., Ely D.M., and Hill M.C. |
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Abstract/Summary Statement
| The OPR-PPR computer program calculates the Observation-Prediction (OPR) and Parameter-Prediction (PPR) statistics that can be used to evaluate the relative importance of various kinds of data to simulated predictions. The data considered fall into three categories: (1) existing observations, (2) potential observations, and (3) potential information about parameters. The statistics are based on the linear equation for prediction standard deviation, which depend on the location, the type, and possibly the time of the data being considered. |
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Table of Contents
| Abstract Introduction Methods of analysis OPR-PPR input files, execution and output files Demonstration using a simple ground-water management problem References Appendix A: Input Instructions for the OPR-PPR Main Input File Appendix B: Listing of data files for example applications Appendix C: Using OPR-PPR with MODFLOW-2000 Appendix D: Connection with the JUPITER API and comments to programmers Appendix E: Program distribution and installation |
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Citation
| Tonkin, M.J., Tiedeman C. R., Ely D.M., and Hill M.C., 2007, OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (computer software): U.S. Geological Survey, version 1.00. |
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Method Source
| USGS |
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Source Organization Country
| USA |
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Publication Year
| 2007 |
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Special Notes
| Please see report errata at http://pubs.usgs.gov/tm/2007/tm6e2/pdf/tm_6-e2-errata.pdf |
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Item Type
| Downloadable Software |
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Publication Source Type
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Government Agency (Federal, USA) |
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Purpose
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Data analysis |
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Design or Data Analysis Objectives
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Exploring/summarizing data Revisit |
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Complexity
| High |
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Media Emphasized
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Groundwater Surface Water |
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Media Subcategory
| |
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Special Topics
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Characterizing the uncertainty of an estimated value Evaluating whether data follow a certain (e.g., normal) distribution |
