Prediction in a Linear Model

SYNOPTIC ABSTRACT

In a linear regression model, where the object is to forecast a future observation, using a symmetric bounded gain function and a symmetric unimodal error distribution, it is shown that the usual forecast is uniformly arbitrarily close to the forecast made by a Bayes decision rule.

Key Words and Phrases:

• linear models
• prediction
• Bayes decision rules