Abstract
Since much of the applied statistician's activity involves model fitting, it is proposed that estimation be approached from this view rather than from that of population inference based on assumed model families. To this end, estimation by the inversion of goodness of fit tests for completely specified models is considered. Several examples and some initial simulation results are given.