Several adjustments to the profile likelihood have been proposed in recent years, to take into proper account the effects of fitting nuisance parameters. In some cases, adjusted profile likelihoods are higher-order approximations of suitable conditional or marginal target likelihoods. However, the adjustments seem to provide accurate inference also when an exact marginal or conditional target likelihood is not available. Here, we consider adjusted profile likelihoods as approximations of a suitable general target likelihood. This is the likelihood for the parameter of interest with a known orthogonal nuisance parameter. Attention is focused on a scalar parameter of interest. Some new results are obtained concerning the null and non-null dis...
We describe some recent approaches to likelihood based inference in the presence of nuisance paramet...
It is well known, at least through many examples, that when there are many nuisance parameters modif...
Likelihoods are widely used in the estimation of parameters, but the computation of their maximum ca...
The modified profile likelihood is a higher-order approximation to a conditional or a marginal likel...
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...
Higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interest in the pr...
In this paper, a second-order link between adjusted profile likelihoods and refinements of the estim...
applied to the estimation of a scalar parameter 6, in the presence of nuisance parameters. The estim...
Adjusted profile likelihoods, confidence interval, higher-order asymptotics, modified directed likel...
Various modifications of the profile likelihood have been proposed in the literature. Despite modifi...
Abstract. This paper presents several different adjusted profile likelihoods for the Weibull shape p...
In order to eliminate nuisance parameters several methods based on adjustments of the profile likeli...
In this paper a second-order link between adjusted profile likelihoods and refinements of the estima...
We study asymptotic properties of the profile and modified profile likelihoods in models for cluster...
We describe some recent approaches to likelihood based inference in the presence of nuisance paramet...
It is well known, at least through many examples, that when there are many nuisance parameters modif...
Likelihoods are widely used in the estimation of parameters, but the computation of their maximum ca...
The modified profile likelihood is a higher-order approximation to a conditional or a marginal likel...
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...
Higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interest in the pr...
In this paper, a second-order link between adjusted profile likelihoods and refinements of the estim...
applied to the estimation of a scalar parameter 6, in the presence of nuisance parameters. The estim...
Adjusted profile likelihoods, confidence interval, higher-order asymptotics, modified directed likel...
Various modifications of the profile likelihood have been proposed in the literature. Despite modifi...
Abstract. This paper presents several different adjusted profile likelihoods for the Weibull shape p...
In order to eliminate nuisance parameters several methods based on adjustments of the profile likeli...
In this paper a second-order link between adjusted profile likelihoods and refinements of the estima...
We study asymptotic properties of the profile and modified profile likelihoods in models for cluster...
We describe some recent approaches to likelihood based inference in the presence of nuisance paramet...
It is well known, at least through many examples, that when there are many nuisance parameters modif...
Likelihoods are widely used in the estimation of parameters, but the computation of their maximum ca...