OPTIMAL STOPPING IN SAMPLING FROM A MULTIVARIATE DISTRIBUTION
Hongsuk Jorn, Han Young Chung · 1976
Optimal stopping problem without recall from a multivariate distribution is solved by using the concept of an equilibrium point which was introduced by J. Nash. The solution is derived for the two cases: 1. The case where the observation cost C is positive and the given upper bound K on the number of observations is infinite. 2. The case where the observation cost C is zero and the given upper bound K on the number of observations is finite.