Simulating random variates from the Pearson IV and betaized Meixner-Morris distributions

We develop uniformly fast random variate generators for the Pearson IV distribution that can be used over the entire range of both shape parameters. Additionally, we derive an efficient algorithm for sampling from the betaized Meixner-Morris density, which is proportional to the product of two generalized hyperbolic secant densities.