AbstractIn this paper, we discuss the construction of the confidence intervals for the regression vector β in a linear model under negatively associated errors. It is shown that the blockwise empirical likelihood (EL) ratio statistic for β is asymptotically χ2-type distributed. The result is used to obtain an EL based confidence region for β
AbstractThe empirical likelihood method is especially useful for constructing confidence intervals o...
We consider estimation and confidence regions for the parameters[alpha]and[beta]based on the observa...
Three types of confidence intervals are developed for a general class of functionals of a survival d...
In this paper, we discuss the construction of the confidence intervals for the regression vector [be...
AbstractIn this paper, we discuss the construction of the confidence intervals for the regression ve...
In this paper, the authors consider the application of the blockwise empirical likelihood method to ...
AbstractThis paper proposes a constrained empirical likelihood confidence region for a parameter β0 ...
AbstractNonparametric versions of Wilks′ theorem are proved for empirical likelihood estimators of s...
Consider the linear models of which the distributions of the errors are non-normal. We propose a met...
In this paper, we consider the application of the empirical likelihood method to partially linear mo...
Empirical-likelihood-based inference for the parameters in a partially linear single-index model is ...
AbstractThe purpose of this article is to use an empirical likelihood method to study the constructi...
The purpose of this article is to use an empirical likelihood method to study the construction of co...
We propose a simple alternative empirical likelihood (EL) method in linear regression which requires...
We consider estimation and confidence regions for the parameters ff and fi based on the observations...
AbstractThe empirical likelihood method is especially useful for constructing confidence intervals o...
We consider estimation and confidence regions for the parameters[alpha]and[beta]based on the observa...
Three types of confidence intervals are developed for a general class of functionals of a survival d...
In this paper, we discuss the construction of the confidence intervals for the regression vector [be...
AbstractIn this paper, we discuss the construction of the confidence intervals for the regression ve...
In this paper, the authors consider the application of the blockwise empirical likelihood method to ...
AbstractThis paper proposes a constrained empirical likelihood confidence region for a parameter β0 ...
AbstractNonparametric versions of Wilks′ theorem are proved for empirical likelihood estimators of s...
Consider the linear models of which the distributions of the errors are non-normal. We propose a met...
In this paper, we consider the application of the empirical likelihood method to partially linear mo...
Empirical-likelihood-based inference for the parameters in a partially linear single-index model is ...
AbstractThe purpose of this article is to use an empirical likelihood method to study the constructi...
The purpose of this article is to use an empirical likelihood method to study the construction of co...
We propose a simple alternative empirical likelihood (EL) method in linear regression which requires...
We consider estimation and confidence regions for the parameters ff and fi based on the observations...
AbstractThe empirical likelihood method is especially useful for constructing confidence intervals o...
We consider estimation and confidence regions for the parameters[alpha]and[beta]based on the observa...
Three types of confidence intervals are developed for a general class of functionals of a survival d...
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