"The cohort parity analysis (CPA) model of David et al. (1988) is studied formally as a three-state parity-progression table. The general solution is found in a form of convex combination of a finite set of solutions which are described explicitly. A parameterization is suggested for a broad subset of solutions which includes two extreme solutions studied in the original publication and maintains the dimension of the entire set. The CPA solution is also treated as a random variate distributed uniformly on the set of all possible solutions. An algorithm is given for computing the marginal distributions without Monte Carlo simulation." (EXCERPT)

中文翻译：

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队列奇偶分析模型的求解

“David et al. (1988) 的队列奇偶分析 (CPA) 模型被正式研究为三态奇偶进度表。通用解以描述的有限解的凸组合的形式找到明确地。建议对广泛的解决方案子集进行参数化，其中包括原始出版物中研究的两个极端解决方案并保持整个集合的维数。CPA 解决方案也被视为在所有可能解决方案的集合上均匀分布的随机变量. 给出了一种无需蒙特卡罗模拟即可计算边际分布的算法。” （摘抄）