{ "item_title" : "OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics", "item_author" : [" Claire R. Tiedeman", "D. Matthew Ely", "Mary C. Hill "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/50/029/734/1500297348_b.jpg", "price_data" : { "retail_price" : "17.99", "online_price" : "17.99", "our_price" : "17.99", "club_price" : "17.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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