The modified profile likelihood is a higher-order approximation to a conditional or a marginal likelihood, when either exists. The directed likelihood based on the modified profile likelihood is standard normal only to first order. In practice, however, it usually achieves most of the distributional improvement obtained by higher-order methods. This note elucidates this point with particular attention to models with many nuisance parameters
Likelihoods are widely used in the estimation of parameters, but the computation of their maximum ca...
In this thesis, we consider improving maximum likelihood inference for the scale parameter of the Lo...
This thesis deals with a statistical method called pro le likelihood. We use it in estimating the un...
The modified profile likelihood is a higher-order approximation to a conditional or a marginal likel...
Several adjustments to the profile likelihood have been proposed in recent years, to take into prope...
Various modifications of the profile likelihood have been proposed over the past twenty years. Their...
Various modifications of the profile likelihood have been proposed over the past 20 years. Their mai...
We study asymptotic properties of the profile and modified profile likelihoods in models for cluster...
It is well known, at least through many examples, that when there are many nuisance parameters modif...
Various modifications of the profile likelihood have been proposed in the literature. Despite modifi...
Adjusted profile likelihoods, confidence interval, higher-order asymptotics, modified directed likel...
We describe some recent approaches to likelihood based inference in the presence of nuisance paramet...
In order to eliminate nuisance parameters several methods based on adjustments of the profile likeli...
Higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interest in the pr...
Estimative predictive density, Modified profile likelihood, Nuisance parameter, Predictive pivot, Pr...
Likelihoods are widely used in the estimation of parameters, but the computation of their maximum ca...
In this thesis, we consider improving maximum likelihood inference for the scale parameter of the Lo...
This thesis deals with a statistical method called pro le likelihood. We use it in estimating the un...
The modified profile likelihood is a higher-order approximation to a conditional or a marginal likel...
Several adjustments to the profile likelihood have been proposed in recent years, to take into prope...
Various modifications of the profile likelihood have been proposed over the past twenty years. Their...
Various modifications of the profile likelihood have been proposed over the past 20 years. Their mai...
We study asymptotic properties of the profile and modified profile likelihoods in models for cluster...
It is well known, at least through many examples, that when there are many nuisance parameters modif...
Various modifications of the profile likelihood have been proposed in the literature. Despite modifi...
Adjusted profile likelihoods, confidence interval, higher-order asymptotics, modified directed likel...
We describe some recent approaches to likelihood based inference in the presence of nuisance paramet...
In order to eliminate nuisance parameters several methods based on adjustments of the profile likeli...
Higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interest in the pr...
Estimative predictive density, Modified profile likelihood, Nuisance parameter, Predictive pivot, Pr...
Likelihoods are widely used in the estimation of parameters, but the computation of their maximum ca...
In this thesis, we consider improving maximum likelihood inference for the scale parameter of the Lo...
This thesis deals with a statistical method called pro le likelihood. We use it in estimating the un...