Weak Convergence of the Sample Distribution Function when Parameters are Estimated
Weak Convergence of the Sample Distribution Function when Parameters are Estimated
The weak convergence of the sample df is studied under a given sequence of alternative hypotheses when parameters are estimated from the data. For a general class of estimators it is shown that the sample df, when normalised, converges weakly to a specified normal process. The results are specialised to …