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Do the generalized polynomial chaos and Fröbenius methods retain the statistical moments of random differential equations?, , , und . Appl. Math. Lett., 26 (5): 553-558 (2013)Second order linear differential equations with analytic uncertainties: stochastic analysis via the computation of the probability density function., , , und . CoRR, (2019)Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: A computational approach., , , , , , und . Math. Comput. Simul., (2015)Random fractional generalized Airy differential equations: A probabilistic analysis using mean square calculus., , , , und . Appl. Math. Comput., (2019)On the generalized logistic random differential equation: Theoretical analysis and numerical simulations with real-world data., , , und . Commun. Nonlinear Sci. Numer. Simul., (2023)Probabilistic analysis of a general class of nonlinear random differential equations with state-dependent impulsive terms via probability density functions., , , und . Commun. Nonlinear Sci. Numer. Simul., (Mai 2023)Randomizing the parameters of a Markov chain to model the stroke disease: A technical generalization of established computational methodologies towards improving real applications., , , und . J. Comput. Appl. Math., (2017)Probabilistic analysis of a class of impulsive linear random differential equations via density functions., , , und . Appl. Math. Lett., (2021)On a stochastic logistic population model with time-varying carrying capacity., , , und . Comput. Appl. Math., (2020)Modeling the Dynamics of the Frequent Users of Electronic Commerce in Spain Using Optimization Techniques for Inverse Problems with Uncertainty., , , , und . J. Optim. Theory Appl., 182 (2): 785-796 (2019)