Empirical likelihood ratio confidence regions with a nuisance parameter for dependent samples 相依样本下带有讨厌参数的经验似然比置信区域
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The least square estimation in linear model is used to derive the two - stage estimation of the item parameter vector 1 of j th item as follows : noting that xj consists of the nuisance parameters s , j , j , were updated so that the estimation of 6 s could be renewed 修正进而修正x _ j和，从而形成一种新的估计方法?双重两步迭代估计蒙特卡洛模拟结果显示，双重两步迭代估计提高了估计对真值的恢复能力。
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Abstract : since the multiple failures situation is not uncommon in the clinical medicine , we explore the use of proportional odds model to the multivariate interval - censored data . the approach is based on the conditional logistic regression , which prevents the complications in the existence of nuisance parameters . the estimation of parameters is obtained by the newton - raphson algorithm . the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic . simulations are also presented to assess the accuracy of the procedure 文摘:探索比例优势模型在临床医学中常见的多结局区间截断数据中的应用.用条件的逻辑回归方法避免讨厌参数的估计,用牛顿-拉普森算法估计回归系数,用"夹心方差"估计量作为参数方差的估计.通过随机模型检验模型应用的有效性
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