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[1]Hasofer, A.M., “Simple trigonometric models for narrow-band stationary process”, Essays in Statistical Science, J. Appl. Prob.19A (1982), 333–344.Google Scholar
[2]
[2]Hasofer, A.M., “Distribution of the maximum of a Gaussian process by Monte Carlo”, J. Sound and Vibration 112 No.1, (to appear).Google Scholar
[3]
[3]Leadbetter, M.R., Lindgren, G. and Rootzen, H., Extremes and related properties of random sequences and processes”, (Springer-Verlag, New York, 1983).Google Scholar
[4]
[4]Nussbaumer, H.N., “Fast fourier transorm and convolution algorithms”, (Springer-Verlag, New York, 1982).Google Scholar
[5]
[5]Rubimstein, R.Y., Simulation and Monte-Carlo methods”, (Wiley, New York, 1981).Google Scholar
[6]
[6]Shinozuka, M., “Simulation of multivariate and multidimentional random processes”, J. Acoustical Society of America49 (1971) 357–368.Google Scholar
[7]
[7]Shinozuka, M., “Monte-Carlo solution of structural dymanics”, Computer and Structures2 (1972) 855–874.Google Scholar
[8]
[8]Shinozuka, M. and Jan, C.M., “Digital simulation of random processes and its applications”, J. Sound and Vibration25 (1972) 111–128.Google Scholar