The empirical Euclidean likelihood estimation of distribution function in the presence of auxiliary information;

In this paper,empirical Euclidean likelihood ratio statistics are constructed for parametric components in a partial linear model under random design,and with its limit distribution asymptotic confidence region of partial linear model parameter is also constructed.

This paper discusses the properties about large samples of empirical likelihood for the differences of two samples parameter in this model,and also proves that the empirical Euclidean likelihood ratio statistic is asymptotically χ2.

The properties about large samples of empirical Eucliden likelihood in strongly stationary m dependent semiparametric models are discussed in this paper.

Empirical Likelihood Method and Its Application in Genes Expression Regulator Network;

Semi-empirical likelihood inference for quantile differences of two populations based on fractional imputation

Adjusted empirical likelihood in Cox proportional hazard model

In this paper,we extend the conditionθ_0=EH(X,μ) to the equation of EH(X,θ_0,μ)=0 and,under the strongly stationary -mixing random sample,discuss empirical likelihood ratio confi- dence regions with a nuisance parameter.

This paper gives the confidence regions for θ0 by using an empirical likelihood ratio function.

Cui hengjian([1]) have discussed empirical likelihood ratio confidence regions for a interesting parameter θ_0 with a nuisance parameter μ,supposing θ_0 = EH (X,μ),Xii.

Non-parametric testing procedures based upon the two-sample empirical likelihood method have been developed for testing two kinds of second order stochastic dominance between nonnegative random variables.