Assessing the Quadratic Approximation to the Log Likelihood Function in Nonnormal Linear Models
非正态线性模型中对数似然二次近似的评估
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.