Properties of some stochastic processes arising in estimation theory

Sample functions of random processes are used to make inferences about the properties of estimators. In particular, it is proved that optimal equivariant sequential estimation designs with stopping timet such that Εt n ₁, are better than optimal equivariant estimation of the location parameter for samples of sizen, with largen. It is assumed that the density has cusps of first or second kind.