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Regression metamodels for simulation with common random numbers : comparison of validation tests and confidence intervals

Kleijnen, Jack P. C. - In: Management science : journal of the Institute for … 38 (1992) 8, pp. 1164-1185

Persistent link: https://www.econbiz.de/10001128210

Analyzing simulation experiments with common random numbers

Kleijnen, Jack P. C. - In: Management science : journal of the Institute for … 34 (1988) 1, pp. 65-74

Persistent link: https://www.econbiz.de/10001057297

Statistical techniques in simulation : (in two parts)

Kleijnen, Jack P. C. - 1975

Persistent link: https://www.econbiz.de/10000108124

Factor screening in simulation experiments : review of sequential bifurcation

Kleijnen, Jack P. C. - In: Advancing the frontiers of simulation : a Festschrift …, (pp. 153-167). 2009

Persistent link: https://www.econbiz.de/10003918944

Simulation optimization via bootstrapped kriging : tutorial

Kleijnen, Jack P. C. - 2011

Kriging (or Gaussian Process) metamodels may be analyzed through bootstrapping, which is a versatile statistical method but must be adapted to the speci.c problem being analyzed. More precisely, a random or discrete-event simulation may be run several times for the same scenario (combination of...

Persistent link: https://www.econbiz.de/10009155770