Discussion Papers, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes 2000,26
In the setup of i.i.d. observations and a real valued differentiable functional T, locally asymptotic upper bounds are derived for the power of one-sided tests (simple, versus large values of T) and for the confidence probability of lower confidence limits (for the value of T), in the case that the tangent set is only a convex cone. The bounds, and the tests and estimators which achieve the bounds, are based on the projection of the influence curve of the functional on the closed convex cone, as opposed to its closed linear span. The higher efficiency comes along with some weaker, only one-sided, regularity and stability.
semiparametric models linear tangent spaces convex tangent cones projection influence curves differentiable functionals asymptotically linear estimators one-sided tests lower confidence bounds concentration bounds asymptotic median unbiasedness