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序贯抽样在科学实验中应用很广,它适用于检验某种假设,也就是通常所说的“判断”。其特点是:(1)抽样样本大小不是预先确定的;(2)每抽检一个样本单元,就是对假设进行一次检验;(3)作出对假设是否成立的判定后,抽样程序即告结束;(4)比所有其它抽样方法费用省,时间快;(5)结果可制成序贯抽样图,进行直观判断。然而,应用序贯抽检方案首先需要了解所判断的问题属何种分布类型(如正态、二项、普瓦松分布等),现介绍几种分布的基本公式及其用法:
Sequential sampling is widely used in scientific experiments. It is suitable for testing certain hypotheses, which are commonly referred to as “judgments.” The characteristics of the sample are: (1) the size of the sample is not predetermined; (2) the sample is sampled once for each sample unit; and (3) the sample procedure is completed after the determination of the hypothesis is established; 4) save time and money faster than all other sampling methods; (5) the results can be made into a sequential sampling chart for intuitive judgment. However, the application of sequential sampling programs first need to know what type of distribution (such as normal, binomial, Poisson distribution, etc.) of the problem to be judged, and the basic formulas of several distributions and their usage are introduced: