With Gaussian random processes approximative solutions for the distribution densities P_0± (τ;R) of time-intervals of lengths τ between two successive crossings of an arbitrary level R are derived on the basis of the so-called 'Weak Quasi-Independence' assumption. The solutions concerning processes with different power spectra were compared to data obtained in precise simulation experiments. The results show that these approximations represent the experimental data with high accuracy.