Empirical Likelihood Confidence Intervals for Distribution Functions under Negatively Associated Samples
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作者:
Li, Yufang
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Guangxi Normal Univ, Sch Math Sci, Guilin 541004, Guangxi, Peoples R ChinaGuangxi Normal Univ, Sch Math Sci, Guilin 541004, Guangxi, Peoples R China
Li, Yufang
[1
]
Qin, Yongsong
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Guangxi Normal Univ, Sch Math Sci, Guilin 541004, Guangxi, Peoples R ChinaGuangxi Normal Univ, Sch Math Sci, Guilin 541004, Guangxi, Peoples R China
Qin, Yongsong
[1
]
机构:
[1] Guangxi Normal Univ, Sch Math Sci, Guilin 541004, Guangxi, Peoples R China
In this article, we discuss the construction of the confidence intervals for distribution functions under negatively associated samples. It is shown that the blockwise empirical likelihood (EL) ratio statistic for a distribution function is asymptotically (2)-type distributed. The result is used to obtain an EL-based confidence interval for the distribution function.