FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297889612> ?p ?o ?g. }

• W4297889612 abstract "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 time. As a measure of leverage, the statistics do not take into account the value of the measurement. As linear measures, the OPR and PPR statistics require minimal computational effort once sensitivities have been calculated. Sensitivities need to be calculated for only one set of parameter values; commonly these are the values estimated through model calibration. OPR-PPR can calculate the OPR and PPR statistics for any mathematical model that produces the necessary OPR-PPR input files. In this report, OPR-PPR capabilities are presented in the context of using the ground-water model MODFLOW-2000 and the universal inverse program UCODE_2005. The method used to calculate the OPR and PPR statistics is based on the linear equation for prediction standard deviation. Using sensitivities and other information, OPR-PPR calculates (a) the percent increase in the prediction standard deviation that results when one or more existing observations are omitted from the calibration data set; (b) the percent decrease in the prediction standard deviation that results when one or more potential observations are added to the calibration data set; or (c) the percent decrease in the prediction standard deviation that results when potential information on one or more parameters is added." @default.
• W4297889612 created "2022-10-01" @default.
• W4297889612 creator A5013777497 @default.
• W4297889612 creator A5015401886 @default.
• W4297889612 creator A5037687799 @default.
• W4297889612 creator A5042106233 @default.
• W4297889612 date "2007-01-01" @default.
• W4297889612 modified "2023-10-02" @default.
• W4297889612 title "OPR-PPR, a computer program for assessing data importance to model predictions using linear statistics" @default.
• W4297889612 doi "https://doi.org/10.3133/tm6e2" @default.
• W4297889612 hasPublicationYear "2007" @default.
• W4297889612 type Work @default.
• W4297889612 citedByCount "11" @default.
• W4297889612 countsByYear W42978896122015 @default.
• W4297889612 countsByYear W42978896122017 @default.
• W4297889612 countsByYear W42978896122020 @default.
• W4297889612 countsByYear W42978896122022 @default.
• W4297889612 countsByYear W42978896122023 @default.
• W4297889612 crossrefType "journal-article" @default.
• W4297889612 hasAuthorship W4297889612A5013777497 @default.
• W4297889612 hasAuthorship W4297889612A5015401886 @default.
• W4297889612 hasAuthorship W4297889612A5037687799 @default.
• W4297889612 hasAuthorship W4297889612A5042106233 @default.
• W4297889612 hasBestOaLocation W42978896122 @default.
• W4297889612 hasConcept C105795698 @default.
• W4297889612 hasConcept C124101348 @default.
• W4297889612 hasConcept C153083717 @default.
• W4297889612 hasConcept C22679943 @default.
• W4297889612 hasConcept C2780009758 @default.
• W4297889612 hasConcept C33923547 @default.
• W4297889612 hasConcept C41008148 @default.
• W4297889612 hasConcept C89128539 @default.
• W4297889612 hasConceptScore W4297889612C105795698 @default.
• W4297889612 hasConceptScore W4297889612C124101348 @default.
• W4297889612 hasConceptScore W4297889612C153083717 @default.
• W4297889612 hasConceptScore W4297889612C22679943 @default.
• W4297889612 hasConceptScore W4297889612C2780009758 @default.
• W4297889612 hasConceptScore W4297889612C33923547 @default.
• W4297889612 hasConceptScore W4297889612C41008148 @default.
• W4297889612 hasConceptScore W4297889612C89128539 @default.
• W4297889612 hasLocation W42978896121 @default.
• W4297889612 hasLocation W42978896122 @default.
• W4297889612 hasOpenAccess W4297889612 @default.
• W4297889612 hasPrimaryLocation W42978896121 @default.
• W4297889612 hasRelatedWork W2007876085 @default.
• W4297889612 hasRelatedWork W2057236131 @default.
• W4297889612 hasRelatedWork W2088030399 @default.
• W4297889612 hasRelatedWork W2127881447 @default.
• W4297889612 hasRelatedWork W2361016007 @default.
• W4297889612 hasRelatedWork W2750956782 @default.
• W4297889612 hasRelatedWork W3044342429 @default.
• W4297889612 hasRelatedWork W3084401908 @default.
• W4297889612 hasRelatedWork W4246117772 @default.
• W4297889612 hasRelatedWork W4254349550 @default.
• W4297889612 isParatext "false" @default.
• W4297889612 isRetracted "false" @default.
• W4297889612 workType "article" @default.