Aitken C G
Department of Mathematics and Statistics, University of Edinburgh, United Kingdom.
J Forensic Sci. 1999 Jul;44(4):750-60.
It is thought that, in a consignment of discrete units, a certain proportion of the units contain illegal material. A sample of the consignment is to be inspected. Various methods for the determination of the sample size are compared. The consignment will be considered as a random sample from some super-population of units, a certain proportion of which contain drugs. For large consignments, a probability distribution, known as the beta distribution, for the proportion of the consignment which contains illegal material is obtained. This distribution is based on prior beliefs about the proportion. Under certain specific conditions the beta distribution gives the same numerical results as an approach based on the binomial distribution. The binomial distribution provides a probability for the number of units in a sample which contain illegal material, conditional on knowing the proportion of the consignment which contains illegal material. This is in contrast to the beta distribution which provides probabilities for the proportion of a consignment which contains illegal material, conditional on knowing the number of units in the sample which contain illegal material. The interpretation when the beta distribution is used is much more intuitively satisfactory. It is also much more flexible in its ability to cater for prior beliefs which may vary given the different circumstances of different crimes. For small consignments, a distribution, known as the beta-binomial distribution, for the number of units in the consignment which are found to contain illegal material, is obtained, based on prior beliefs about the number of units in the consignment which are thought to contain illegal material. As with the beta and binomial distributions for large samples, it is shown that, in certain specific conditions, the beta-binomial and hypergeometric distributions give the same numerical results. However, the beta-binomial distribution, as with the beta distribution, has a more intuitively satisfactory interpretation and greater flexibility. The beta and the beta-binomial distributions provide methods for the determination of the minimum sample size to be taken from a consignment in order to satisfy a certain criterion. The criterion requires the specification of a proportion and a probability.
据认为,在一批离散的单位货物中,一定比例的单位含有非法物品。将对该批货物抽取一个样本进行检查。比较了确定样本量的各种方法。该批货物将被视为来自某个超总体单位的随机样本,其中一定比例的单位含有毒品。对于大批量货物,可得到一个关于含有非法物品的货物比例的概率分布,即贝塔分布。此分布基于对该比例的先验信念。在某些特定条件下,贝塔分布给出的数值结果与基于二项分布的方法相同。二项分布给出了样本中含有非法物品的单位数量的概率,前提是已知该批货物中含有非法物品的比例。这与贝塔分布形成对比,贝塔分布给出的是已知样本中含有非法物品的单位数量的情况下,该批货物中含有非法物品的比例的概率。使用贝塔分布时的解释在直觉上更令人满意。它在适应因不同犯罪情况而异的先验信念方面也更加灵活。对于小批量货物,基于对被认为含有非法物品的货物单位数量的先验信念,可得到一个关于该批货物中被发现含有非法物品的单位数量的分布,即贝塔 - 二项分布。与大样本的贝塔分布和二项分布一样,结果表明,在某些特定条件下,贝塔 - 二项分布和超几何分布给出的数值结果相同。然而,与贝塔分布一样,贝塔 - 二项分布在直觉上的解释更令人满意且具有更大的灵活性。贝塔分布和贝塔 - 二项分布提供了确定从一批货物中抽取的最小样本量的方法,以便满足某个标准。该标准要求指定一个比例和一个概率。