GRM Introductory Overview - The Backward Removal Method

The backward removal method is also a simple model-building procedure. At each step after Step 0, the removal statistic is computed for each effect eligible to be removed from the model. If no effect has a value on the removal statistic which is less than the critical value for removal from the model, then stepping is terminated, otherwise the effect with the smallest value on the removal statistic is removed from the model. Stepping is also terminated if the maximum number of steps is reached.

Topics on Building Models via Stepwise Regression

See also GRM - Index.