Assessing the quadratic approximation to the log likelihood function in nonnormal linear models

Abstract

A general and simple technique for finding a bound for the error in the quadratic approximation to the log likelihood function is proposed. This bound allows a likelihood interpretation for confidence regions constructed from the quadratic approximation. Applications are illustrated using logit and log linear models.