.. _method-stoch_collocation-askey: """"" askey """"" Select the standardized random variables (and associated basis polynomials) from the Askey family that best match the user-specified random variables. .. toctree:: :hidden: :maxdepth: 1 **Specification** - *Alias:* None - *Arguments:* None - *Default:* extended (Askey + numerically-generated) **Description** The Askey option employs standard normal, standard uniform, standard exponential, standard beta, and standard gamma random variables in a transformed probability space. These selections correspond to Hermite, Legendre, Laguerre, Jacobi, and generalized Laguerre orthogonal polynomials, respectively. Specific mappings for the basis polynomials are based on a closest match criterion, and include Hermite for normal (optimal) as well as bounded normal, lognormal, bounded lognormal, gumbel, frechet, and weibull (sub-optimal); Legendre for uniform (optimal) as well as loguniform, triangular, and bin-based histogram (sub-optimal); Laguerre for exponential (optimal); Jacobi for beta (optimal); and generalized Laguerre for gamma (optimal).