Determination of the statistical distributions of model parameters for probabilistic risk assessment
Conference
·
OSTI ID:6226247
Successful probabilistic risk assessment depends heavily on knowledge of the distribution of model parameters we have developed. The TERPED computer code is a versatile methodology for determining with what confidence a parameter set may be considered to have a normal or lognormal frequency distribution. Several measures of central tendency are computed. Other options include computation of the chi-square statistic, the Kolmogorov-Smirnov non-parametric statistic, and Pearson's correlation coefficient. Cumulative probability plots are produced either in high resolution (pen-and-ink or film) or in printerplot form.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- DOE Contract Number:
- W-7405-ENG-26
- OSTI ID:
- 6226247
- Report Number(s):
- CONF-810905-7; ON: DE82000147
- Resource Relation:
- Conference: ANS/ENS topical meeting on probabilistic risk assessment, Post Chester, NY, USA, 20 Sep 1981
- Country of Publication:
- United States
- Language:
- English
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