Add to ORKGIt has been shown that (with complete data) empirical likelihood ratios can be used to form confidence intervals and test hypotheses about a linear functional of the distribution function just like the parametric case. We study here the empirical likelihood ratios for right censored data and with parameters that are linear functionals of the cumulative hazard function. Martingale techniques make the asymptotic analysis easier, even for random weighting functions. It is shown that the empirical likelihood ratio in this setting can be easily obtained by solving a one parameter monotone equation.weighted hazard one sample log rank test stochastic constraint median
Most of the existing tests for equality of k medians actually assume that under the null hypothesis,...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
AbstractIt has been shown that (with complete data) empirical likelihood ratios can be used to form ...
AbstractIt has been shown that (with complete data) empirical likelihood ratios can be used to form ...
In this paper, we use smoothed empirical likelihood methods to construct confidence intervals for ha...
In biomedical research and lifetime data analysis, the comparison of two hazard functions usually pl...
In biomedical research and lifetime data analysis, the comparison of two hazard functions usually pl...
In this paper we investigate the empirical likelihood method in a linear regression model when the o...
For right censored data, empirical likelihood method is used to construct the confidence band for th...
In this paper a simple way to obtain empirical likelihood type confidence intervals for the mean und...
Empirical likelihood inference is developed for censored survival data under the linear transformati...
Three types of confidence intervals are developed for a general class of functionals of a survival d...
AbstractEmpirical likelihood inference is developed for censored survival data under the linear tran...
The empirical likelihood was introduced by Owen, although its idea originated from survival analysis...
Most of the existing tests for equality of k medians actually assume that under the null hypothesis,...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
AbstractIt has been shown that (with complete data) empirical likelihood ratios can be used to form ...
AbstractIt has been shown that (with complete data) empirical likelihood ratios can be used to form ...
In this paper, we use smoothed empirical likelihood methods to construct confidence intervals for ha...
In biomedical research and lifetime data analysis, the comparison of two hazard functions usually pl...
In biomedical research and lifetime data analysis, the comparison of two hazard functions usually pl...
In this paper we investigate the empirical likelihood method in a linear regression model when the o...
For right censored data, empirical likelihood method is used to construct the confidence band for th...
In this paper a simple way to obtain empirical likelihood type confidence intervals for the mean und...
Empirical likelihood inference is developed for censored survival data under the linear transformati...
Three types of confidence intervals are developed for a general class of functionals of a survival d...
AbstractEmpirical likelihood inference is developed for censored survival data under the linear tran...
The empirical likelihood was introduced by Owen, although its idea originated from survival analysis...
Most of the existing tests for equality of k medians actually assume that under the null hypothesis,...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...