OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics
Language: English
Published by CreateSpace Independent Publishing Platform, 2014
- Softcover
- New

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- Title
- OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics
- Author
- Tonkin, Matthew J; Tiedeman, Claire R; Matthew Ely, D.; Hill, Mary C
- Publisher
- CreateSpace Independent Publishing Platform
- Publication year
- 2014
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1500297348
- ISBN 13
- 9781500297343
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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