Statistical analyses of scatterplots to identify important factors in large-scale simulations, 2: Robustness of techniques

Reliability Engineering and System Safety

Volumn 65, Issue 2, 1999, Pages 187-197

  Kleijnen, J P C ^a   Helton, J C ^b  

^a TILBURG UNIVERSITY   (Netherlands)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CORRELATION METHODS; MONTE CARLO METHODS; REGRESSION ANALYSIS; RISK ASSESSMENT; SENSITIVITY ANALYSIS;

EPISTEMIC UNCERTAINTY; KRUSKAL-WALLIS STATISTICS; LATIN HYPERCUBE SAMPLING; SCATTERPLOTS;

ACCIDENT PREVENTION;

EID: 0032678281     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0951-8320(98)00090-8     Document Type: Article

References (7)

1. Kleijnen J.P.C., Helton J.C. Statistical analyses of scatterplots to identify important factors in large-scale simulations, 1: review and comparison of techniques. Reliability Engineering and System Safety. 65:1999;147-186.
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3. Conover W.J. Practical non-parametric statistics. 2nd edition :1980;Wiley, New York.
4. Iman R.L., Conover W.J. A distribution-free approach to inducing rank correlation among input variables. Communications in Statistics: Part B - Simulation and Computation. B11:1982;311-334.
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