Recent generalizations of the classical single state life table procedures to the multistate case provide the means to analyze simultaneously the mobility and mortality experience of 1 or more cohorts. This paper examines fairly general nonparametric combinatorial matrix procedures, known as quadratic assignment, as an analysis technic of various transitional patterns commonly generated by cohorts over the life cycle course. To some degree, the output from a multistate life table analysis suggests inference procedures. In his discussion of multstate life table construction features, the author focuses on the matrix formulation of the problem. He then presents several examples of the proposed nonparametric procedures. Data for the mobility and life expectancies at birth matrices come from the 458 member Cayo Santiago rhesus monkey colony. The author's matrix combinatorial approach to hypotheses testing may prove to be a useful inferential strategy in several multidimensional demographic areas.

中文翻译：

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多态生命表分析的非参数推理程序

最近将经典的单状态生命表程序推广到多状态案例提供了同时分析 1 个或多个队列的流动性和死亡率体验的方法。本文研究了相当普遍的非参数组合矩阵程序，称为二次分配，作为一种分析技术，通常由队列在生命周期过程中产生的各种过渡模式。在某种程度上，多态生命表分析的输出表明了推理程序。在讨论多态生命表构造特征时，作者着重于问题的矩阵表述。然后，他介绍了所提议的非参数程序的几个示例。出生矩阵的流动性和预期寿命数据来自 458 名成员 Cayo Santiago 恒河猴群。