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相依样本情形时的经验似然比置信区间 总被引:9,自引:0,他引:9
本文讨论了强平稳φ混合样本的经验似然比置信区间,推广了Owen(1988,1990)在独立同分布情况下的结果,指出了相依情况时经验似然比置信区间的不足并进行了合理的改进。 相似文献
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研究强平稳φ混合随机变量序列均值的经验似然估计问题,利用拉格朗日乘子以及一些重要概率不等式讨论均值有限且方差不等于零的强平稳φ混合序列,并给出其总体均值和M-泛函统计推断以及置信区间. 相似文献
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在协变量和反映变量都缺失下,构造了线性模型中反映变量均值的经验似然置信区间,数据模拟表明调整的经验似然置信区间有较好的覆盖率和精度,进一步完善了缺失数据下对线性模型的研究. 相似文献
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本文研究强混合样本下部分线性模型的经验似然推断,将分块技术应用到经验似然方法中,证明部分线性模型的参数β的对数经验似然比统计量的渐近分布为卡方分布,由此构造强混合样本下β的经验似然置信区间.在有限样本情况下给出数值模拟结果. 相似文献
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本文研究相协样本下概率密度函数的调整经验似然推断,证明对数调整经验似然比统计量服从χ2分布,由此构造了相协样本下概率密度函数的调整经验似然置信区间.在有限样本情况下通过数值模拟,对比分析得到AEL的表现略优于EL和NA的表现. 相似文献
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本文研究强混合样本下随机设计情形线性模型的经验似然推断,将分块技术应用到经验似然方法中,证明了线性模型的参数β的对数经验似然比统计量的渐近分布为卡方分布,由此构造了强混合样本下β的经验似然置信区间.在有限样本情况下给出数值模拟结果. 相似文献
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Jun-jian Zhang 《应用数学学报(英文版)》2007,23(2):245-254
Empirical likelihood is discussed by using the blockwise technique for strongly stationary,positivelyassociated random variables.Our results show that the statistics is asymptotically chi-square distributed andthe corresponding confidence interval can be constructed. 相似文献
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���: ���� 《应用概率统计》2006,35(3):305-316
??Auxiliary population information is often available in finite population inference problems, and the empirical likelihood (EL) approach has been demonstrated to be flexible and useful for such problems. The present paper concerns EL when interest centers on inference for the mean of the baseline distribution under two-sample density ratio models. Although dual EL is a convenient technical tool since it has the same maximum point and maximum likelihood as DRM-based EL, it can not combine such auxiliary information into the likelihood conveniently and may have loss of efficiency. By contrast, the classical EL approach of Qin and
Lawless\ucite{21} does not have this problem and incorporate seamlessly auxiliary information. Based on the EL using auxiliary information and the
dual EL methods, we construct both point and interval estimations and make a careful comparison. Though the point estimation efficiency gain obtained
by the former is not noticeable, we find that they may have different performances in interval estimation. In terms of coverage accuracy, the two intervals are comparable for not or moderate skewed populations, and the EL interval using auxiliary information can be much superior for severely skewed populations. 相似文献
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Auxiliary population information is often available in finite population inference problems, and the empirical likelihood (EL) approach has been demonstrated to be flexible and useful for such problems. The present paper concerns EL when interest centers on inference for the mean of the baseline distribution under two-sample density ratio models. Although dual EL is a convenient technical tool since it has the same maximum point and maximum likelihood as DRM-based EL, it can not combine such auxiliary information into the likelihood conveniently and may have loss of efficiency. By contrast, the classical EL approach of Qin and
Lawless\ucite{21} does not have this problem and incorporate seamlessly auxiliary information. Based on the EL using auxiliary information and the
dual EL methods, we construct both point and interval estimations and make a careful comparison. Though the point estimation efficiency gain obtained
by the former is not noticeable, we find that they may have different performances in interval estimation. In terms of coverage accuracy, the two intervals are comparable for not or moderate skewed populations, and the EL interval using auxiliary information can be much superior for severely skewed populations. 相似文献
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在缺失样本下,构造了线性模型中参数的调整的经验似然置信域,数值模拟表明调整的经验似然置信域有较好的覆盖率和精度. 相似文献
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本文利用了强平稳$m-$相依序列的特殊性质,讨论了$m-$相依序列密度函数的经验似然推断, 给出了似然比统计量的极限分布,可构造参数的经验似然置信区间. 并且通过模拟计算来说明有限样本下应用经验似然方法的合理性. 相似文献