The presence of nuisance parameters causes unwanted complications in statistical and econometric inference procedures. A number of modified likelihood and message length functions have been developed for better handling of nuisance parameters but they are not equally efficient. In this paper, we...

This paper illustrates the use of Kullback-Leibler Information (KLI) measure for assessing the relative quality of two approximations to an unknown distribution from which we ca obtain simple random drawings.

This paper considers the construction of model selection procedures based on choosing the model with the largest maximised log-likelihood mimus a penalty, when key parameters are restricted to be in a closed interval. The approach adopted is based on King et al.'s (1995) representative models...

The presence of nuisance parameters causes unexpected complications in econometric inference problems. A number of modified likelihood and message length functions have been developed for better handling of nuisance parameters but all of them are not equally efficient. In this paper, we...