A bayesian approach to detect informative observations in an experiment

Abstract

In this article Lindley's (1956) measure of average information is used to measure the loss of information due to the unavailability of a set of observations in an experiment. This measure of loss of information may be used to detect a set of most informative observations in a given design.

Keywords:

• Normal regression model
• unavailable observations
• robust design