An Estimation Procedure for Data Containing Outliers with a One-Directional Shift in the Mean
Abstract Data collected in experiments often include spurious observations, that is, observations not from the population of interest, that need to be taken into account during data analysis. This article considers a dental experiment the objective of which is to estimate a person's discriminating pressure. Because of the monotony of repetition in this experiment, some data points result in inflated values. A procedure is presented for revising the standard analysis when these spurious observations occur. Properties of this procedure are discussed and numerical results provided. The dental experiment is used to illustrate the procedure. A comparison of this procedure with competing rules is also presented.