缺失数据下线性EV模型均值的经验似然推断
결실수거하선성EV모형균치적경험사연추단
Empirical Likelihood Inference for the Mean of a Linear EV Models with Missing Data
  • 万方数据
    重庆理工大学学报（自然科学版） 중경리공대학학보（자연과학판）
    JOURNAL OF CHONGQING INSTITUTE OF TECHNOLOGY
    2014年 8期 114-116,139 ,共4页

    魏成花%胡锡健

    위성화%호석건

    线性EV模型%缺失数据%经验似然%卡方分布 線性EV模型%缺失數據%經驗似然%卡方分佈
    선성EV모형%결실수거%경험사연%잡방분포
    linear EV model%missing data%empirical likelihood%chi-square distribution
    考虑了响应变量随机缺失情形下的线性EV模型，利用逆概率加权的方法构造响应变量均值的经验对数似然比统计量，在一定条件下证明了所构造的经验对数似然比统计量渐近于卡方分布，利用这个结果可构造均值的置信域。
    고필료향응변량수궤결실정형하적선성EV모형，이용역개솔가권적방법구조향응변량균치적경험대수사연비통계량，재일정조건하증명료소구조적경험대수사연비통계량점근우잡방분포，이용저개결과가구조균치적치신역。
    The missing response problem in the linear EV (error-in-varibles)models is investigated. Using the inverse probability-Weighted method,the empirical log-likelihood ratio statistics for the Mean in the model is constructed.It is proved that the proposed statistics are asymptotically chi-square under some suitable conditions.With this results,the confidence region for the Mean can be constructed.
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