DATE AND TIME: Monday, September 13, 1998, 4:10 p.m.

        PLACE: 319 Snedecor

        SPEAKER:
        Yves Berger
        University of Southampton, Highfield

        TITLE:
        Approximation of Optimal Generalised Regression Estimator
         

        ABSTRACT:
        The drawback of the optimal generalised regression estimator proposed
        by Montanari (1987) is the dependence on the second-order inclusion
        probabilities. In this paper, we propose a method free of second order
        inclusion probabilities to compute an approximation of the optimal
        generalised regression estimator, as well as a variance estimator.
         
         

        COFFEE: 3:45 p.m., 104 Snedecor Hall