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Coverage Accuracy of Confidence Intervals in Nonparametric Regression 被引量:2

Coverage Accuracy of Confidence Intervals in Nonparametric Regression
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摘要 Point-wise confidence intervals for a nonparametric regression function with random design points are considered. The confidence intervals are those based on the traditional normal approximation and the empirical likelihood. Their coverage accuracy is assessed by developing the Edgeworth expansions for the coverage probabilities. It is shown that the empirical likelihood confidence intervals are Bartlett correctable. Point-wise confidence intervals for a nonparametric regression function with random design points are considered. The confidence intervals are those based on the traditional normal approximation and the empirical likelihood. Their coverage accuracy is assessed by developing the Edgeworth expansions for the coverage probabilities. It is shown that the empirical likelihood confidence intervals are Bartlett correctable.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2003年第3期387-396,共10页 应用数学学报(英文版)
关键词 Confidence interval empirical likelihood Nadaraya-Watson estimator normal approximation Confidence interval empirical likelihood Nadaraya-Watson estimator normal approximation
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参考文献17

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