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Jackknife Empirical Likelihood Method for Some Risk Measures and Related Quantities
Confidence interval jackknife empirical likelihood risk measure
2016/1/20
Quantifying risks is of importance in insurance. In this paper, we employ the jackknife empirical likelihood method to construct confidence intervals for some risk measures and related quantities stud...
Analysis of Performance Measures in Experimental Designs Using Jackknife
Performance Measures Experimental Designs
2015/3/20
Analysis of Performance Measures in Experimental Designs Using Jackknife.
Jackknife and bootstrap with cycling blocks for the estimation of fractional parameter in ARFIMA model
Jackknife bootstrap fractionally parameter ARFIMA model moving blocks non overlapping blocks
2011/4/6
One of most important problems concerning the ARFIMA time series model is the estimation of fractional parameter d. Various methods have been used to solve this problem, such as the log-periodogram r...
Delete-group Jackknife Estimate in Partially Linear Regression Models with Heteroscedasticity
partially linear regression model asymptotic variance
2007/12/10
Consider a partially linear regression model with an unknown vector parameter β, an unknown function g(·), and unknown heteroscedastic error variances. Chen, You~([23]) proposed a semiparametric gener...
在实际的调查中经常会出现缺失数据. 如何处理这种情况下总体目标量的估计是一个重要问题.Zou 等(2002)对缺失数据情况下的样本轮换方法证明了他们所提出的线性化 Jackknife 方差估计量在均匀回答下是估计量方差的近似的设计无偏估计. 这一性质对于 Jackknife 方差估计量的使用提供了重要依据. 对于其它情况下 Jackknife 方差估计量是否也具有这一性质无疑是一个有意义的问题. ...