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首页> 外文期刊>Annals of the Institute of Statistical Mathematics >Asymptotics for a weighted least squares estimator of the disease onset distribution function for a survival-sacrifice model
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Asymptotics for a weighted least squares estimator of the disease onset distribution function for a survival-sacrifice model

机译:生存牺牲模型疾病发作分布函数的加权最小二乘估计的渐近性

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In carcinogenicity experiments with animals where the tumor is not palpable it is common to observe only the time of death of the animal, the cause of death (the tumor or another independent cause, as sacrifice) and whether the tumor was present at the time of death. These last two indicator variables are evaluated after an autopsy. A weighted least squares estimator for the distribution function of the disease onset was proposed. Asymptotic properties of that estimator are established here. We demonstrate its strong uniform consistency. A minimax lower bound for the estimation of the disease onset distribution is obtained, as well as the local asymptotic distribution for their estimator.
机译:在无法触摸到肿瘤的动物的致癌性实验中,通常只观察动物的死亡时间,死亡原因(肿瘤或其他独立原因,作为牺牲),以及观察是否存在肿瘤。死亡。在验尸之后评估最后两个指标变量。提出了一种针对疾病发作的分布函数的加权最小二乘估计器。在此建立该估计量的渐近性质。我们证明了其强大的一致性。获得了用于估计疾病发作分布的minimax下界,以及用于其估计量的局部渐近分布。

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