03.120.30 统计方法的应用 标准查询与下载

GB/T 3359-1982 数据的统计处理和解释 统计容许区间的确定

本标准规定以样本为基础的确定统计容许区间的方法。统计容许区间是以给定置信水平至少包含总体中规定比例的区间。统计容许区间可以是双侧的或者是单侧的，区间的端点称为统计容许限，也称为过程的自然限。

Statistical interpretation of data--Determination of a statistical tolerance interval

GB/T 3361-1982 数据的统计处理和解释 在成对观测值情形下两个均值的比较

本标准规定了成对观测值之差的总体均值与零或者其它预先指定的值相比较的方法。

Statistical interpretation of data--Comparison of two means in the case of paired observations

GB/T 3360-1982 数据的统计处理和解释 均值的估计和置信区间

本标准适用于对抽自正态总体的随机样本所作的一系列试验的基础上，在总体方差未知的情形下，估计该总体的均值；或者利用试验所得的数据计算出一个区间，使得这个区间以给定的概率包含总体均值。对于总体概率分布遵从正态分布的假定可以广泛地得到满足：在一定的试验条件下，所得试验结果的分布经常是正态分布或者近似正态分布。本标准假定，用来进行测定的个体，构成一个来自原总体的独立随机样本。

Statistical interpretation of data--Estimation of the mean--Confidence interval

T/SHDFA 002-2024 铸造生产能耗核算方法

铸造是制造业的基础产业，在国民经济发展中处于不可或缺的重要地位。为科学、准确地核算铸造企业生产能耗，特制定本文件。铸造生产相关能耗及能效计算可参照执行。

Casting production energy consumption accounting method

GSO ASTM D6299:2024 应用统计质量保证和控制图表技术评估分析测量系统性能的标准规范

1.1 This practice covers information for the design and operation of a program to monitor and control ongoing stability and precision and bias performance of selected analytical measurement systems using a collection of generally accepted statistical quality control (SQC) procedures and tools. NOTE 1—A complete list of criteria for selecting measurement systems to which this practice should be applied and for determining the frequency at which it should be applied is beyond the scope of this practice. However, some factors to be considered include (1) frequency of use of the analytical measurement system, (2) criticality of the parameter being measured, (3) system stability and precision performance based on historical data, (4) business economics, and (5) regulatory, contractual, or test method requirements. 1.2 This practice is applicable to stable analytical measurement systems that produce results on a continuous numerical scale. 1.3 This practice is applicable to laboratory test methods. 1.4 This practice is applicable to validated process stream analyzers. 1.5 This practice is applicable to monitoring the differences between two analytical measurement systems that purport to measure the same property provided that both systems have been assessed in accordance with the statistical methodology in Practice D6708 and the appropriate bias applied. NOTE 2—For validation of univariate process stream analyzers, see also Practice D3764. NOTE 3—One or both of the analytical systems in 1.5 may be laboratory test methods or validated process stream analyzers. 1.6 This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control. NOTE 4—For non-Gaussian processes, transformations of test results may permit proper application of these tools. Consult a statistician for further guidance and information. 1.7 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance

DB37/T 4707.1-2024 企业生产安全事故隐患信息分类与编码 第1部分：化工行业

Classification and Coding of Information on Hidden Hazards of Enterprise Production Safety Accidents Part 1: Chemical Industry

BS ISO 22514-7:2021+A1:2024 过程管理中的统计方法 能力和性能 测量过程的能力

Statistical methods in process management. Capability and performance - Capability of measurement processes

DB43/T 2914-2024 文化和旅游及相关产业分类指南

Guide to the classification of culture, tourism and related industries

BS ISO 3951-6:2023 变量检验的抽样程序 按极限质量（LQ）索引的独立批次检验的单次抽样计划规范

Sampling procedures for inspection by variables - Specification for single sampling plans for isolated lot inspection indexed by limiting quality (LQ)

DB12/T 964-2023 企业活跃指数测评方法

Enterprise Activity Index Evaluation Method

ISO 3951-6:2023 变量检验抽样程序第6部分:以极限质量（LQ）为指标的独立批次检验单次抽样计划规范

Sampling procedures for inspection by variables — Part 6: Specification for single sampling plans for isolated lot inspection indexed by limiting quality (LQ)

ASTM D6299-23a 应用统计质量保证和控制制图技术评估分析测量系统性能的标准实施规程

Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance

ASTM E2810-23 证明符合剂量单位均匀性试验的能力的标准实施规程

Standard Practice for Demonstrating Capability to Comply with the Test for Uniformity of Dosage Units

DB3311/T 266-2023 水资源审计规范

Technical specifications for renovation of barrier-free facilities at home

ASTM E3080-23 用单一预测变量进行回归分析的标准实施规程

Standard Practice for Regression Analysis with a Single Predictor Variable

ASTM E2709-23 证明符合验收程序的能力的标准实施规程

Standard Practice for Demonstrating Capability to Comply with an Acceptance Procedure

ASTM E141-10(2023) 基于概率抽样结果的证据接受的标准实施规程

Standard Practice for Acceptance of Evidence Based on the Results of Probability Sampling

ISO/TR 11462-5:2023 统计过程控制（SPC）实施指南第5部分:SPC软件的质量数据交换格式

Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software

ASTM D6299-23 应用统计质量保证和控制图表技术评估分析测量系统性能的标准实践

1.1  This practice covers information for the design and operation of a program to monitor and control ongoing stability and precision and bias performance of selected analytical measurement systems using a collection of generally accepted statistical quality control (SQC) procedures and tools. Note 1:  A complete list of criteria for selecting measurement systems to which this practice should be applied and for determining the frequency at which it should be applied is beyond the scope of this practice. However, some factors to be considered include (1 ) frequency of use of the analytical measurement system, (2 ) criticality of the parameter being measured, (3 ) system stability and precision performance based on historical data, (4 ) business economics, and (5 ) regulatory, contractual, or test method requirements. 1.2  This practice is applicable to stable analytical measurement systems that produce results on a continuous numerical scale. 1.3  This practice is applicable to laboratory test methods. 1.4  This practice is applicable to validated process stream analyzers. 1.5  This practice is applicable to monitoring the differences between two analytical measurement systems that purport to measure the same property provided that both systems have been assessed in accordance with the statistical methodology in Practice D6708 and the appropriate bias applied. Note 2:  For validation of univariate process stream analyzers, see also Practice D3764 . Note 3:  One or both of the analytical systems in 1.5 may be laboratory test methods or validated process stream analyzers. 1.6  This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control. Note 4:  For non-Gaussian processes, transformations of test results may permit proper application of these tools. Consult a statistician for further guidance and information. 1.7  This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance

ASTM E2862-23 命中/未命中数据检测概率分析的标准实施规程

1.1 This practice covers the procedure for performing a statistical analysis on nondestructive testing hit/miss data to determine the demonstrated probability of detection (POD) for a specific set of examination parameters. Topics covered include the standard hit/miss POD curve formulation, validation techniques, and correct interpretation of results. 1.2 The values stated in inch-pound units are to be regarded as standard. The values given in parentheses are mathematical conversions to SI units that are provided for information only and are not considered standard. 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.4 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Probability of Detection Analysis for Hit/Miss Data