本“技术报告”提供了关于危险物质释放，排放和/或含量的声明值统计评估的指导。该报告提供了基于统计学的标准，用于类型测试（TT），进一步测试（FT），以及产品与发布，排放或内容的测量值是否一致，这些测量值明显低于声明值，不允许进一步测试（NFT）的地方。 CEN/TR 16797-1中定义了一系列基本原理，并定义了两种统计方法。第一种方法是使用变量进行评估，这种方法要求数据正常或正态分布。建议使用此方法作为默认选项。基于属性评估的替代方法适用于不正常或正态分布的数据集。这种评估形式的缺点在于，需要更多的测试数据才能达到相同的可靠性水平。 CEN/TR 16797-1介​​绍了这些评估程序，CEN/TR 16797-2提供了更多细节和统计证据，证明它们符合CEN/TR 16797-1中定义的原则。使用这两种方法，测试的最小频率是t之间的距离的函数

This Technical Report provides guidance on the statistical assessment of declared values with respect to the release, emission and/or content of dangerous substances. This 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 CEN/TR 16797-1 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. CEN/TR 16797-1 introduces these assessment procedures and CEN/TR 16797-2 provides more detail and the statistical proof that they satisfy the principles defined in CEN/TR 16797-1. 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 this document. This document 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 this document 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.