AbstractPseudo-empirical likelihood estimation of the population mean is considered. A nonparametric regression theory is proposed, to provide the fitted values on which to calibrate, and the common model misspecification problem is therefore addressed. Results derived from empirical studies show that the proposed estimator for the population mean can perform better than alternative estimators
This paper extends the scope of empirical likelihood methodology in three directions: to allow for p...
The paper deals with some nonparametric methods for the construction of confidence sets; the empiric...
This paper extends the scope of empirical likelihood methodology in three directions: to allow for p...
AbstractPseudo-empirical likelihood estimation of the population mean is considered. A nonparametric...
We provide a review on the empirical likelihood method for regression-type inference problems. The r...
We provide a review on the empirical likelihood method for regression type inference problems. The r...
Empirical likelihood, first introduced by Owen (1988, 1990), is a nonparametric method in statistica...
The aim of this paper is to show that existing estimators for the error distribution in nonparametri...
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inpe...
Empirical likelihood is a popular tool for incorporating auxiliary information and constructing nonp...
Abstract. Recent developments in empirical likelihood (EL) are reviewed. First, to put the method in...
AbstractA bias-corrected technique for constructing the empirical likelihood ratio is used to study ...
The empirical likelihood method is a reliable data analysis tool in all statistical areas for its no...
Inference under kernel regression imputation for missing response data is considered. An adjusted em...
This paper investigates the use of a pseudo-likelihood approach for inference in regression models w...
This paper extends the scope of empirical likelihood methodology in three directions: to allow for p...
The paper deals with some nonparametric methods for the construction of confidence sets; the empiric...
This paper extends the scope of empirical likelihood methodology in three directions: to allow for p...
AbstractPseudo-empirical likelihood estimation of the population mean is considered. A nonparametric...
We provide a review on the empirical likelihood method for regression-type inference problems. The r...
We provide a review on the empirical likelihood method for regression type inference problems. The r...
Empirical likelihood, first introduced by Owen (1988, 1990), is a nonparametric method in statistica...
The aim of this paper is to show that existing estimators for the error distribution in nonparametri...
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inpe...
Empirical likelihood is a popular tool for incorporating auxiliary information and constructing nonp...
Abstract. Recent developments in empirical likelihood (EL) are reviewed. First, to put the method in...
AbstractA bias-corrected technique for constructing the empirical likelihood ratio is used to study ...
The empirical likelihood method is a reliable data analysis tool in all statistical areas for its no...
Inference under kernel regression imputation for missing response data is considered. An adjusted em...
This paper investigates the use of a pseudo-likelihood approach for inference in regression models w...
This paper extends the scope of empirical likelihood methodology in three directions: to allow for p...
The paper deals with some nonparametric methods for the construction of confidence sets; the empiric...
This paper extends the scope of empirical likelihood methodology in three directions: to allow for p...
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