An importance quantification technique in uncertainty analysis for computer models

Proceedings of ISUMA 1990 - 1st International Symposium on Uncertainty Modeling and Analysis

Volumn , Issue , 1990, Pages 398-403

  Ishlg Ami, T ^a   Homma, T ^a  

^a JAPAN ATOMIC ENERGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MONTE CARLO METHODS; REGRESSION ANALYSIS;

COMPARATIVE STUDIES; COMPUTER MODELS; IMPORTANCE MEASURE; INPUT VARIABLES; LATIN HYPERCUBE SAMPLING; ORIGINAL MODEL; REGRESSION METHOD; UNCERTAINTY REDUCTION;

UNCERTAINTY ANALYSIS;

EID: 85067631737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISUMA.1990.151285     Document Type: Conference Paper

References (6)

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3. O. Togawa, "Computer Code TERFOC-N to Calculate Doses to Public Using Terrestrial Foodchain Models Improved and Extended for Long-lived Nuclides", J. Nucl. Sci. Technol. 27, 360-374 (1990).
4. M. D. Mckay, W. J. Conover, and R. J. Beckman, "A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code", Technometrics 21, 239-245 (1979).
5. R. L. Iman and M. J. Shortencarier, "A FORTRAN 77 Program and User's Guide for the Generation of Latin Hypercube and Random Samples for Use with Computer Models", NUREG/CR-3624, SAND83-2365 (1984).
6. R. L. Iman, M. J. Shortencarier and J. D. Johnson, "A FORTRAN 77 Program and User's Guide for the Calculation of Partial Correlation and Standardized Regression Coefficients", NUREG/CR-4122, SAND85-0044 (1985).