Investigation of adaptive algorithms for $\alpha$-quantile estimation

Adaptive algorithms of $\alpha$-quantile estimation for a random are considered with unknown distribution density and with some types of a priory information about this density available. Comparison of the asymptotical properties are compared of estimates which were provided by these algorithms and the results on computer modeling are given.