Structural approach to slippage problems for exponential samples

Abstract

The structural method of inference is used to identify outlying sub-samples in a set of samples with exponential error components. Models for location shift, scale change, and combination of both are examined. The structural approach leads to the distributions of the slippage parameters for these models. Therefore, inference statements such as interval estimates and hypothesis testing can be established.