BS PD CEN/TR 16797-1:2015提供了有关以下方面的申报值的统计评估指南: 危险物质的释放、排放和/或含量。本技术报告提供了统计数据 型式试验（TT）、进一步试验（FT）的标准，以及已证明产品符合 释放量、排放量或含量的测量值显著低于声明值 不允许进一步测试（NFT）的点。本文件定义了一系列基本原则，并介绍了两种统计方法 定义第一种方法是使用变量评估，这种方法要求数据 正态分布或对数正态分布。建议将此方法作为默认选项。替代方案 基于属性评估的方法适用于不正常或不正常记录的数据集 分发。这种形式的评估的缺点是，相同水平的测试需要更多的测试数据 可靠性本文件介绍了这些评估程序，CEN/TR 16797-2提供了 更详细的信息和统计证明，证明它们满足本文件中定义的原则。这两个 接近最小测试频率是平均值和平均值之间距离的函数 声明值和数据集的可变性，即样本标准偏差。为了降低测试成本，生产类似产品的生产厂可能会共享数据，例如分组 将产品分为若干组，用于对申报值进行统计评估。给出了集群的使用规则 在CEN/TR 16797-2中。CEN/TR 16797-2还包含识别数据集中异常值的规则和使用其他测试的指南 CEN/TR 16797-2中给出了产品技术委员会的任务清单，作为包括 在产品标准和应用规则中，可在产品标准中引用或复制到产品中 标准。交叉引用:CEN/TR 16797-2:201589/106/EECRegulation（EU）No 305/2011购买时可用的所有现行修订均包含在本文件的购买中。

BS PD CEN/TR 16797-1:2015 provides guidance on the statistical assessment of declared values with respect to the release, emission and/or content of dangerous substances. This Technical Report provides statistically-based criteria for type-testing (TT), further-testing (FT) and where a product has been shown to be consistent with measured values for the release, emission or content that are significantly below the declared values, the point where no-further-testing (NFT) is permitted.A series of fundamental principles are defined in the present document and two statistical approaches are defined. The first approach is to use assessment by variables and this approach requires the data to be normally or log-normally distributed. This approach is recommended as the default option. The alternative approach based on assessment by attributes is appropriate for data sets that are not normally or log-normally distributed. The downside to this form of assessment is that more test data are needed for the same level of reliability. The present document introduces these assessment procedures and CEN/TR 16797-2 provides more detail and the statistical proof that they satisfy the principles defined in this document. With both of these approaches the minimum frequency of testing is a function of the distance between the mean value and declared value and the variability of the data set, i.e. the sample standard deviation.To reduce the costs of testing, production plants producing a similar product may share data, e.g. be grouping the product into clusters for statistical assessment of declared values. Rules for the use of clusters are given in CEN/TR 16797-2.CEN/TR 16797-2 also contains rules for identifying outliers within a data set and guidance on using tests other than the reference method for FT.A list of tasks for product technical committees is given in CEN/TR 16797-2 as is a model clause for including in product standards and rules of applications that may be cited in the product standard or copied into product standards.Cross References:CEN/TR 16797-2:201589/106/EECRegulation (EU) No 305/2011All current amendments available at time of purchase are included with the purchase of this document.