03.120.30 统计方法的应用 标准查询与下载

KS Q ISO 7870-4:2022 控制图.第4部分:累积和图

Control charts — Part 4: Cumulative sum charts

KS Q ISO 22514-7-2022 过程管理中的统计方法.能力和性能.第7部分:测量过程的能力

Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes

KS Q ISO 22514-7:2022 过程管理中的统计方法.能力和性能.第7部分:测量过程的能力

Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes

KS Q ISO 16355-1:2022 统计和相关方法在新技术和产品开发过程中的应用.第1部分:质量功能部署（QFD）的一般原则和观点

Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of quality function deployment (QFD)

KS Q ISO 7870-4-2022 控制图.第4部分:累积和图

Control charts — Part 4: Cumulative sum charts

DB33/T 2552-2022 企业软投入统计监测与评价规范

Statistical Monitoring and Evaluation Standards for Enterprise Soft Investment

ISO/TS 23471:2022 不确定度评估的实验设计.确定不确定度函数的析因设计的使用

Experimental designs for evaluation of uncertainty — Use of factorial designs for determining uncertainty functions

BS ISO 13528:2022 实验室间比较能力验证中使用的统计方法

1   Scope This document provides detailed descriptions of statistical methods for proficiency testing providers to use to design proficiency testing schemes and to analyse the data obtained from those schemes. This document provides recommendations on the interpretation of proficiency testing data by participants in such proficiency testing schemes and by accreditation bodies. The procedures in this document can be applied to demonstrate that the measurement results obtained by laboratories, inspection bodies, and individuals meet specified criteria for acceptable performance. This document is applicable to proficiency testing where the results reported are either quantitative measurements or qualitative observations on test items. NOTE The procedures in this document can also be applied for the assessment of expert opinion where the opinions or judgments are reported in a form which can be compared objectively with an independent reference value or a consensus statistic. For example, when classifying proficiency test items into known categories by inspection - or in determining by inspection whether proficiency test items arise, or do not arise, from the same original source - and the classification results are compared objectively, the provisions of this document that relate to nominal (qualitative) properties can be applied.

Statistical methods for use in proficiency testing by interlaboratory comparison

BS ISO 28596:2022 按属性检查的抽样程序 根据先验信息进行审计和检查的两阶段抽样计划

1   Scope This document specifies two-stage (double) sampling plans by attributes for inspection for a proportion of nonconforming items in a target population of discrete units, in particular: a) the proportion of nonconforming items in a lot of product items; b) the proportion of nonconforming function instances of an internal control system (ICS); c) the proportion of misstatements in a population of accounting entries or booking records; d) the proportion of nonconforming test characteristics of an entity subject to an acceptance test, e.g. in product and process audits. The plans are preferable to single sampling plans where the cost of inspection is high or where the delay and uncertainty caused by the possible requirement for second samples is inconsequential. The statistical theory underlying the plans, tables and figures are provided in Annexes A through K.

Sampling procedures for inspection by attributes. Two-stage sampling plans for auditing and for inspection under prior information

KS Q ISO 8550-2-2022 批量离散项目检验验收抽样系统的选择和使用指南 第2部分：按属性抽样

Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots－Part 2：Sampling by attributes

KS Q ISO 8550-3-2022 批量离散项目检验验收抽样系统的选择和使用指南 第3部分：变量抽样

Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots－Part 3：Sampling by variables

KS Q ISO 24153-2022 随机抽样和随机化程序

Random sampling and randomization procedures

KS Q 16269-2022 数据的统计解释

Statistical interpretation of data

KS Q ISO 8550-1-2022 批量离散项目检验验收抽样系统的选择和使用指南 第1部分：验收抽样

Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots－Part 1：Acceptance sampling

KS Q ISO 22514-4-2022 过程管理中的统计方法 能力和绩效 第4部分：过程能力估计和绩效测量

Statistical methods in process management — Capability and performance — Part 4: Process capability estimates and performance measures

ISO 28596:2022 计数检验的抽样程序.审计和先验信息检验的两阶段抽样计划

This document specifies two-stage (double) sampling plans by attributes for inspection for a proportion of nonconforming items in a target population of discrete units, in particular: a) the proportion of nonconforming items in a lot of product items; b) the proportion of nonconforming function instances of an internal control system (ICS); c) the proportion of misstatements in a population of accounting entries or booking records; d) the proportion of nonconforming test characteristics of an entity subject to an acceptance test, e.g. in product and process audits. The plans are preferable to single sampling plans where the cost of inspection is high or where the delay and uncertainty caused by the possible requirement for second samples is inconsequential. The statistical theory underlying the plans, tables and figures are provided in Annexes A through K.

Sampling procedures for inspection by attributes — Two-stage sampling plans for auditing and for inspection under prior information

BS ISO 10576:2022 统计方法 特定要求符合性评估指南

1   Scope This document sets out guidelines for checking conformity with quantifiable characteristics using the test or measurement result and its associated measurement uncertainty. This document is applicable whenever the uncertainty may be quantified according to the principles laid down in ISO/IEC Guide‑98‑3 (GUM). The term uncertainty is thus a descriptor for all elements of variation in the measurement result, including uncertainty due to sampling. This document does not give rules for how to act when an inconclusive result of a conformity test has been obtained. NOTE There are not limitations on the nature of the entity subject to the requirements nor on the quantifiable characteristic. Examples of entities together with quantifiable characteristics are given in Table A.1.

Statistical methods. Guidelines for the evaluation of conformity with specified requirements

BS ISO 3951-1:2022 通过变量进行检查的抽样程序 按验收质量限度(AQL)索引的单次抽样计划规范 用于针对单一质量特性和单一 AQL 进行逐批检验

What is BS ISO 3951-1:2022 Sampling procedures for inspection by variables about? This document is the first in a multi-part series that applies statistical methods to sampling in order to control the acceptance of quality products.   ISO 3951-1:2022 details sampling plans indexed by acceptance quality limit with inspection for a single quality characteristic. Who is ISO 3951-1:2022 Sampling procedures for inspection by variables for? Any organization purchasing or selling items where there is a need to stay within specification limits What does ISO 3951-1:2022 Sampling procedures for inspection by variables cover? ISO 3951-1 specifies single sampling plans for lot-by-lot inspection under the following conditions: Where the inspection procedure is applied to a continuing series of lots of discrete products all supplied by one producer using one production process Where only a single quality characteristic, x, of these products is taken into consideration, which must be measurable on a continuous scale Where production is stable (under statistical control) and the quality characteristic, x, is distributed according to a normal distribution or a close approximation to the normal distribution Where a contract or standard defines an upper specification limit U, a lower specification limit L, or both. An item is qualified as conforming if and only if its measured quality characteristic x satisfies the appropriate one of the following inequalities: x ≥ L (i.e., the lower specification limit is not violated) x ≤ U (i.e., the upper specification limit is not violated) x ≥ L and x ≤ U (i.e. neither the lower nor the up...

Sampling procedures for inspection by variables. Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL

ISO 3951-1:2022 变量检验的抽样程序.第1部分:单个质量特性和单个AQL的逐批检验用验收质量限（AQL）索引的单个抽样计划规范

This document specifies single sampling plans for lot-by-lot inspection under the following conditions: a) where the inspection procedure is applied to a continuing series of lots of discrete products, all supplied by one producer using one production process; b) where only a single quality characteristic, x, of these products is taken into consideration, which is measurable on a continuous scale; c) where production is under statistical control and the quality characteristic, x, is distributed according to a normal distribution or a close approximation to the normal distribution; d) where a contract or standard defines a lower specification limit, L, an upper specification limit, U, or both. An item is qualified as conforming if its measured quality characteristic, x, satisfies as appropriate one of the following inequalities: 1) x ≥ L (i.e. the lower specification limit is not violated); 2) x ≤ U (i.e. the upper specification limit is not violated); 3) x ≥ L and x ≤ U (i.e. neither the lower nor the upper specification limit is violated). Inequalities 1) and 2) are cases with a single specification limit, and 3) is a case with double specification limits. Where double specification limits apply, it is assumed in this document that conformity to both specification limits is equally important to the integrity of the product. In such cases, it is appropriate to apply a single AQL to the combined percentage of a product outside the two specification limits. This is referred to as combined control.

Sampling procedures for inspection by variables — Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristi

ISO 13528:2022 实验室间比较能力验证中使用的统计方法

This document provides detailed descriptions of statistical methods for proficiency testing providers to use to design proficiency testing schemes and to analyse the data obtained from those schemes. This document provides recommendations on the interpretation of proficiency testing data by participants in such proficiency testing schemes and by accreditation bodies. The procedures in this document can be applied to demonstrate that the measurement results obtained by laboratories, inspection bodies, and individuals meet specified criteria for acceptable performance. This document is applicable to proficiency testing where the results reported are either quantitative measurements or qualitative observations on test items. NOTE The procedures in this document can also be applied for the assessment of expert opinion where the opinions or judgments are reported in a form which can be compared objectively with an independent reference value or a consensus statistic. For example, when classifying proficiency test items into known categories by inspection - or in determining by inspection whether proficiency test items arise, or do not arise, from the same original source - and the classification results are compared objectively, the provisions of this document that relate to nominal (qualitative) properties can be applied.

Statistical methods for use in proficiency testing by interlaboratory comparison