CHEN Guijing;ZHU Chunhua
Journal of Systems Science and Complexity. 2005, 18(3): 347-360.
In this paper we study urn model, using some available
estimates of successes probabilities, and adding particle
parameter, we establish adaptive models. We obtain some strong
convergence theorems, rates of convergence, asymptotic normality
of components in the urn, and estimates. With these asymptotical
results, we show that the adaptive designs given in this paper are
asymptotically optimal designs.