The translation model is a useful tool to characterize stochastic processes or random fields. In this paper, this model is extended to simulate stochastic ...
Apr 1, 2019 · ABSTRACT The translation model is a useful tool to characterize stochastic processes or random fields. In this paper, this model is extended ...
Mar 4, 2019 · In this paper, this model is extended to simulate stochastic processes with discrete marginal distributions. A theoretical discussion is ...
Aug 1, 2022 · First, the whole simulation framework of stationary non-Gaussian stochastic vector processes by the translation process and the spectral ...
This model is extended to simulate stochastic processes with discrete marginal distributions and the spectral representation method is employed to generate ...
Jun 21, 2021 · We proposed a new iterative power and amplitude correction (IPAC) algorithm to simulate nonstationary and non-Gaussian processes.
Simulation of Stationary Non-Gaussian Translation Processes
ascelibrary.org › doi › (ASCE)0733-939...
A simulation algorithm is developed for generating realizations of non-Gaussian stationary translation processes X(t) with a specified marginal distribution ...
Jun 21, 2021 · We proposed a new iterative power and amplitude correction (IPAC) algorithm to simulate nonstationary and non-Gaussian processes.
ABSTRACT: The simulation of non-stationary and non-Gaussian stochastic processes is a challenging problem of considerable practical interest.
Apr 27, 2020 · The intention of this paper is to derive a complete transformation model of CFM from non-Gaussian to Gaussian processes with the applicable ...