Add to ORKGThis paper presents a new quasi-profile loglikelihood with the standard kind of distributional limit behaviour, for inference about an arbitrary one-dimensional parameter of interest, based on unbiased estimating functions. The new function is obtained by requiring the corresponding quasi-profile score function to have bias and information bias of order O(1). We illustrate the use of the proposed pseudo-likelihood with an application to robust inference in linear models
We consider the problems of robust estimation and testing for a log-linear model with feedback for t...
In many situations, data follow a generalized partly linear model in which the mean of the responses...
We consider inference based on the profile likelihood function for the scale parameter of the genera...
This paper presents a new quasi-profile loglikelihood with the standard kind of distributional limit...
This paper presents a new quasi-profile loglikelihood with the standard kind of distributional limit...
An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresp...
An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresp...
We discuss the problem of robust hypothesis testing about a scalar parameter of interest in the pres...
We discuss higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interes...
In some problems of practical interest, a standard Bayesian analysis can be difficult to perform. Th...
n some problems of practical interest, a standard Bayesian analysis can be difficult to perform. Thi...
In this paper we consider a suitable scale adjustment of the estimating function which de.nes a clas...
This paper revisits the classical inference results for profile quasi maximum likelihood estimators ...
General estimating functions are usually used when one desires to conduct inference about a paramete...
The aim of this paper is to extend in a natural fashion the results on the treatment of nuisance par...
We consider the problems of robust estimation and testing for a log-linear model with feedback for t...
In many situations, data follow a generalized partly linear model in which the mean of the responses...
We consider inference based on the profile likelihood function for the scale parameter of the genera...
This paper presents a new quasi-profile loglikelihood with the standard kind of distributional limit...
This paper presents a new quasi-profile loglikelihood with the standard kind of distributional limit...
An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresp...
An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresp...
We discuss the problem of robust hypothesis testing about a scalar parameter of interest in the pres...
We discuss higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interes...
In some problems of practical interest, a standard Bayesian analysis can be difficult to perform. Th...
n some problems of practical interest, a standard Bayesian analysis can be difficult to perform. Thi...
In this paper we consider a suitable scale adjustment of the estimating function which de.nes a clas...
This paper revisits the classical inference results for profile quasi maximum likelihood estimators ...
General estimating functions are usually used when one desires to conduct inference about a paramete...
The aim of this paper is to extend in a natural fashion the results on the treatment of nuisance par...
We consider the problems of robust estimation and testing for a log-linear model with feedback for t...
In many situations, data follow a generalized partly linear model in which the mean of the responses...
We consider inference based on the profile likelihood function for the scale parameter of the genera...