We provide a review on the empirical likelihood method for regression-type inference problems. The regression models considered in this review include parametric, semiparametric, and nonparametric models. Both missing data and censored data are accommodated
AbstractA bias-corrected technique for constructing the empirical likelihood ratio is used to study ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
The empirical likelihood method is a reliable data analysis tool in all statistical areas for its no...
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...
This paper shall review on the estimation of distribution function for both parametric and nonparame...
This paper provides an excellent overview and appraisal of empirical likelihood methods for regressi...
In this paper we investigate the empirical likelihood method in a linear regression model when the o...
This rejoinder is organized as follows. In the next section we discuss some computational issues of ...
AbstractPseudo-empirical likelihood estimation of the population mean is considered. A nonparametric...
2. EL in parametric regression 3. EL in nonparametric regression 4. EL in semiparametric regression ...
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inpe...
Abstract. Recent developments in empirical likelihood (EL) are reviewed. First, to put the method in...
Empirical likelihood, first introduced by Owen (1988, 1990), is a nonparametric method in statistica...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
AbstractA bias-corrected technique for constructing the empirical likelihood ratio is used to study ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
The empirical likelihood method is a reliable data analysis tool in all statistical areas for its no...
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...
This paper shall review on the estimation of distribution function for both parametric and nonparame...
This paper provides an excellent overview and appraisal of empirical likelihood methods for regressi...
In this paper we investigate the empirical likelihood method in a linear regression model when the o...
This rejoinder is organized as follows. In the next section we discuss some computational issues of ...
AbstractPseudo-empirical likelihood estimation of the population mean is considered. A nonparametric...
2. EL in parametric regression 3. EL in nonparametric regression 4. EL in semiparametric regression ...
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inpe...
Abstract. Recent developments in empirical likelihood (EL) are reviewed. First, to put the method in...
Empirical likelihood, first introduced by Owen (1988, 1990), is a nonparametric method in statistica...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
AbstractA bias-corrected technique for constructing the empirical likelihood ratio is used to study ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
The empirical likelihood method is a reliable data analysis tool in all statistical areas for its no...
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