1) smoothed empirical likelihood
光滑经验似然
1.
We employ the smoothed empirical likelihood to construct the confidence regions of quantile regression models under strongly stationary φ-mixing dependent samples,which generalizes results from independent and identical distribution(i.
在强平稳φ-混合样本下,利用光滑经验似然方法,给出分位数回归模型参数的经验似然置信区域,得到类似于独立同分布时的结果。
2) empirical likelihood
经验似然
1.
Empirical Likelihood Method and Its Application in Genes Expression Regulator Network;
经验似然方法及基因表达调控网络应用
2.
Semi-empirical likelihood inference for quantile differences of two populations based on fractional imputation
分数填补下两总体分位数差异的半经验似然推断
3.
Adjusted empirical likelihood in Cox proportional hazard model
Cox比例风险模型中的校正经验似然方法(英文)
3) Pseudo Empirical likelihood
伪经验似然
4) empirical likelihood ratio
经验似然比
1.
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.
本文将条件θ_0=EH(X,μ)推广到更一般的估计方程EH(X,θ_0,μ)=0,并且在样本为强平稳φ混合序列情形下讨论带有讨厌参数的经验似然比置信区域。
2.
This paper gives the confidence regions for θ0 by using an empirical likelihood ratio function.
在许多情况下，形如θ０＝ＥＨ（Ｘ，μ）是人们所感兴趣的参数，这里Ｈ（·，·）是一已知在Ｒｄ×Ｒｋ上的连续实函数，其中，μ∈Ｒｋ是一讨厌参数，利用经验似然比泛函给出了θ０的经验似然比置信区间，属非参数方法，但其结果却类同于参数下的Ｗｉｌｋｓ定理和Ｏｗｅｎ的工作，同时给出了一些有用实例。
3.
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.
崔恒建(文献[1])假设X 1 ,LXn为取自总体X 的iid 样本且θ0 = EH(X,μ),其中μ为讨厌参数,讨论了感兴趣参数θ0的经验似然比置信区间。
5) second order stochastic dominance
经验似然法
1.
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.
对非参数试验;;基于两种不同样本经验似然法。
6) semi-empirical likelihood
半经验似然
1.
The strong consistency and asymptotic normality of the semi-empirical likelihood estimation with additional information are proved.
提出了一种有附加信息的半参数统计模型 ,证明了有附加信息的半经验似然估计的强相合性、渐近正态性 ,并说明附加信息能改进参数估
补充资料：光滑
物体表面平滑；不粗糙：皮肤～丨大理石的桌面很～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条