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OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (in English)
Mary C. Hill
(Author)
·
Claire R. Tiedeman
(Author)
·
D. Matthew Ely
(Author)
·
Createspace Independent Publishing Platform
· Paperback
OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (in English) - Tiedeman, Claire R. ; Matthew Ely, D. ; Hill, Mary C.
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Synopsis "OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (in English)"
This document describes the OPR-PPR computer program, which evaluates the importance to model predictions of one or more existing or potential observations, or of increased knowledge about one or more system parameters. OPR-PPR accomplishes this task using linear statistical inference, and reports the results using the Observation-Prediction (OPR) and Parameter-Prediction (PPR) statistics. OPR-PPR is programmed in Fortran 90/95 using modules from the Joint Universal Parameter IdenTification and Evaluation of Reliability (JUPITER) Application Program Interface (API) (Banta and others, 2006). OPR-PPR reads and writes files that are compatible with the JUPITER API data-exchange file formats. OPR-PPR has been developed to be independent of any specific model platform, and can be used with any model that produces the input files necessary for OPR-PPR.
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