Surrogate modeling
- 1 February 1972
- journal article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 8 (1) , 212-216
- https://doi.org/10.1029/wr008i001p00212
Abstract
To improve the accuracy and completeness of a data base is expensive. Mathematical models and digital computer simulation techniques make a quantitative evaluation of the worth of improving the data base possible by empirical sensitivity analysis. Triangular and log triangular error distributions have been found suitable for Monte Carlo experiments to investigate the effect of different degrees of data accuracy.This publication has 1 reference indexed in Scilit:
- Use of Linear Programing for Estimating Geohydrologic Parameters of Groundwater BasinsWater Resources Research, 1971