USGS:  OPR-PPR

Title
OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (report)
Author
Tonkin, M.J., Tiedeman C. R., Ely D.M., and Hill M.C.
Abstract/Summary Statement
The OPR-PPR computer 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 statistics are based on the linear equation for prediction standard deviation, which depend on the location, the type, and possibly the time of the data being considered.
Table of Contents
Abstract
Introduction
Methods of analysis
OPR-PPR input files, execution and output files
Demonstration using a simple ground-water management problem
References
Appendix A: Input Instructions for the OPR-PPR Main Input File
Appendix B: Listing of data files for example applications
Appendix C: Using OPR-PPR with MODFLOW-2000
Appendix D: Connection with the JUPITER API and comments to programmers
Appendix E: Program distribution and installation
Citation
Tonkin, M.J., Tiedeman C. R., Ely D.M., and Hill M.C., 2007, OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics (computer software): U.S. Geological Survey, version 1.00.
Method Source
USGS
Source Organization Country
USA
Publication Year
2007
Special Notes
Please see report errata at http://pubs.usgs.gov/tm/2007/tm6e2/pdf/tm_6-e2-errata.pdf
Item Type
Downloadable Software
Publication Source Type
Government Agency (Federal, USA)
Purpose
Data analysis
Design or Data Analysis Objectives
Exploring/summarizing data
Revisit
Complexity
High
Media Emphasized
Groundwater
Surface Water
Media Subcategory
Special Topics
Characterizing the uncertainty of an estimated value
Evaluating whether data follow a certain (e.g., normal) distribution