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Maximum Likelihood Estimation of Life-Span Based on Censored and Passively Registered Historical Data

机译:基于删失和被动记录的历史数据的寿命的最大似然估计

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We consider the estimation of life length of people who were born in the seventeenth or eighteenth century in England. The data consist of a sequence of times of life events that is either ended by a time of death or is right-censored by an unobserved time of migration. We propose a semi parametric model for the data and use a maximum likelihood method to estimate the unknown parameters in this model. We prove the consistency of the maximum likelihood estimators and describe an algorithm to obtain the estimates numerically. We have applied the algorithm to data and the estimates found are presented.
机译:我们考虑估计在十七或十八世纪在英国出生的人的寿命。数据由一系列生命事件组成,这些事件要么以死亡时间结束,要么以未观察到的迁徙时间进行右删失。我们为数据提出一个半参数模型,并使用最大似然法来估计该模型中的未知参数。我们证明了最大似然估计的一致性,并描述了一种通过数值获得估计的算法。我们已经将该算法应用于数据,并且给出了找到的估计值。

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