Detecting influential observations by using a new expression of cook's distance
In regression diagnostics, a number of influence measures based on various statistical tools have been discussed. We choose Cook's distance out of these measures and propose a new expression of it so that we can extend the single case form to the multiple case one. Furthermore investigating some properties of the new expression, we show that it is more effective than the previous expression from the theoretical and the practical points of view.