Premium
Surrogate modeling
Author(s) -
Meyer Charles F.
Publication year - 1972
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr008i001p00212
Subject(s) - monte carlo method , sensitivity (control systems) , computer science , base (topology) , completeness (order theory) , algorithm , data mining , statistics , mathematics , engineering , mathematical analysis , electronic engineering
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.