Abstract:
A technique is proposed for recognizing the prior data on membership of the true value of the parameter to be estimated in a certain set whereby the least square estimate is mapped on a prior set. In numerous cases where the true value stays on a boundary the estimation accuracy is shown to increase independently of the number of observations. The technique is used in obtaining updated estimates for symmetrical and nonnegative definite matrices.