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A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process

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References

1972Digital simulation of random processes and its applications1,663 cited
1991Simulation of Stochastic Processes by Spectral Representation1,379 cited
2002Stochastic Calculus: Applications in Science and Engineering345 cited
1988Digital Generation of Non‐Gaussian Stochastic Fields317 cited
1998Simulation of Stationary Non-Gaussian Translation Processes303 cited
2001Simulation of Highly Skewed Non-Gaussian Stochastic Processes226 cited
2002Polynomial Chaos Decomposition for the Simulation of Non-Gaussian Nonstationary Stochastic Processes197 cited

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2013Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes

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