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OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics

Dates

Year
2007

Citation

Tonkin, Matthew J, Tiedeman, Claire R, Ely, D Matthew, and Hill, Mary C, 2007, OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics: Geological Survey (U.S.).

Summary

The OPR-PPR 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 first two are addressed by the OPR statistic; the third is addressed by the PPR statistic. The statistics are based on linear theory and measure the leverage of the data, which depends on the location, the type, and possibly the time of the data being considered. For example, in a ground-water system the type of data might be a head measurement at a particular location and [...]

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  • USGS National Research Program

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Added to ScienceBase on Fri Apr 19 10:54:09 MDT 2013 by processing file <b>Modeling and uncertainty of complex ground-water systems.xml</b> in item <a href="https://www.sciencebase.gov/catalog/item/504216b8e4b04b508bfd3357">https://www.sciencebase.gov/catalog/item/504216b8e4b04b508bfd3357</a>

Additional Information

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Report Number http://sciencebase.gov/vocab/identifierScheme TM - 6-E2

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