A procedure is proposed for studying the hypothesis that a sequence of dichotomous random variables are independent and identically (randomly) distributed. The procedure is relatively sensitive to departures from randomness involving multiple clustering. An application to testing for Schwann cell disease is discussed. The distrubution of the sample coefficient of variation from an exponential distribution, a useful statistic in testing randomness for a continuous model, is also studied.
提出了一种程序,用于研究二分随机变量序列是独立同分布(随机)的这一假设。该程序对涉及多重聚类的随机性偏差相对敏感。讨论了其在施万细胞疾病检测中的应用。还研究了来自指数分布的样本变异系数的分布,这是检验连续模型随机性时的一个有用统计量。