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

Tonkin, Matthew J; Tiedeman, Claire R; Matthew Ely, D.; Hill, Mary C

ISBN 10: 1500297348 / ISBN 13: 9781500297343

Published by CreateSpace Independent Publishing Platform, 2014

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Print on Demand.

Seller Inventory # I-9781500297343

Bibliographic Details

• Title: OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics
• Publisher: CreateSpace Independent Publishing Platform
• Publication Date: 2014
• Language: English
• ISBN 10: 1500297348
• ISBN 13: 9781500297343
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.