07.020 数学 标准查询与下载

ASTM E2234-09(2018) 按AQL索引的属性对产品流取样的标准实施规程

1.1 This practice establishes lot or batch sampling plans and procedures for inspection by attributes using MIL-STD-105E as a basis for sampling a steady stream of lots indexed by acceptance quality limit (AQL). 1.2 This practice provides the sampling plans of MIL-STD105E in ASTM format for use by ASTM committees and others. It recognizes the continuing usage of MIL-STD-105E in industries supported by ASTM. Most of the original text in MIL-STD-105E is preserved in Sections 4 – 6 of this practice. 1.3 No system of units is specified in this standard. 1.4 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. 1.5 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 Sampling a Stream of Product by Attributes Indexed by AQL

ASTM E2555-07(2018)e1 在生命和可靠性检查中应用MIL-STD-105计划的因素和程序的标准实践

Standard Practice for Factors and Procedures for Applying the MIL-STD-105 Plans in Life and Reliability Inspection

ASTM E1488-12(2018) 用于开发和应用测试方法的统计程序标准指南

1.1 This guide identifies statistical procedures for use in developing new test methods or revising or evaluating existing test methods, or both. 1.2 This guide also cites statistical procedures especially useful in the application of test methods. 1.3 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 Guide for Statistical Procedures to Use in Developing and Applying Test Methods

ASTM E2555-07(2018) 在生命和可靠性检查中应用MIL-STD-105计划的因素和程序的标准实践

Standard Practice for Factors and Procedures for Applying the MIL-STD-105 Plans in Life and Reliability Inspection

IEC 60050-102:2007/AMD1:2017 修改件1.国际电工词汇.第102部分:数学.一般概念和线性代数

Amendment 1 - International electrotechnical vocabulary - Part 102: Mathematics - General concepts and linear algebra

ASTM E2232-16 选择和使用辐射处理应用中计算吸收剂量的数学方法的标准指南

1.1 This guide describes different mathematical methods that may be used to calculate absorbed dose and criteria for their selection. Absorbed-dose calculations can determine the effectiveness of the radiation process, estimate the absorbeddose distribution in product, or supplement or complement, or both, the measurement of absorbed dose. 1.2 Radiation processing is an evolving field and annotated examples are provided in Annex A6 to illustrate the applications where mathematical methods have been successfully applied. While not limited by the applications cited in these examples, applications specific to neutron transport, radiation therapy and shielding design are not addressed in this document. 1.3 This guide covers the calculation of radiation transport of electrons and photons with energies up to 25 MeV. 1.4 The mathematical methods described include Monte Carlo, point kernel, discrete ordinate, semi-empirical and empirical methods. 1.5 This guide is limited to the use of general purpose software packages for the calculation of the transport of charged or uncharged particles and photons, or both, from various types of sources of ionizing radiation. This standard is limited to the use of these software packages or other mathematical methods for the determination of spatial dose distributions for photons emitted following the decay of 137 Cs or 60 Co, for energetic electrons from particle accelerators, or for X-rays generated by electron accelerators. 1.6 This guide assists the user in determining if mathematical methods are a useful tool. This guide may assist the user in selecting an appropriate method for calculating absorbed dose. The user must determine whether any of these mathematical methods are appropriate for the solution to their specific application and what, if any, software to apply. NOTE 1—The user is urged to apply these predictive techniques while being aware of the need for experience and also the inherent limitations of both the method and the available software. Information pertaining to availability and updates to codes for modeling radiation transport, courses, workshops and meetings can be found in Annex A1. For a basic understanding of radiation physics and a brief overview of method selection, refer to Annex A3. 1.7 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 and health practices and determine the applicability of regulatory requirements prior to use.

Standard Guide for Selection and Use of Mathematical Methods for Calculating Absorbed Dose in Radiation Processing Applications

ANSI/ASTM E2232:2016 选择和使用计算辐射处理应用中吸收剂量的数学方法的标准指南

Standard Guide for Selection and Use of Mathematical Methods for Calculating Absorbed Dose in Radiation Processing Applications

DB14/T 1215-2016 阳城八八筵席制作规范

Yangcheng Eighty-eight Banquet Production Specifications

KS A 0505-2014 几何方向和运动方向

Geometrical orientation and directions of movements

ANSI/ASTM E2555:2012 应用Mil-Std-105寿命规划和可靠性检验的程序和因素用操作规程

Practice for Factors and Procedures for Applying the Mil-Std-105 Plans in Life and Reliability Inspection

ASTM E2762-10 通过 AQL 标记的变数对产品流抽样的标准操作规程

This practice was prepared to meet a growing need for the use of standard sampling plans for inspection by variables in customer procurement, supply and storage, and maintenance inspection operations. The variables sampling plans apply to a single quality characteristic which can be measured on a continuous scale, and for which quality is expressed in terms of percent defective. The theory underlying the development of the variables sampling plans, including the operating characteristic curves, assumes that measurements of the quality characteristic are independent, identically distributed normal random variables. In comparison with attributes sampling plans, variables sampling plans have the advantage of usually resulting in considerable savings in sample size for comparable assurance as to the correctness of decisions in judging a single quality characteristic, or for the same sample size, greater assurance is obtained using variables plans. Attributes sampling plans have the advantage of greater simplicity, of being applicable to either single or multiple quality characteristics, and of requiring no knowledge about the distribution of the continuous measurements of any of the quality characteristics. It is important to note that variables sampling plans are not to be used indiscriminately, simply because it is possible to obtain variables measurement data. In considering applications where the normality or independence assumptions may be questioned, the user is advised to consult his technical agency to determine the feasibility of application. Application8212;Sampling plans designated in this publication are applicable, but not limited, to inspection of the following: (1) end items, (2) components and raw materials, (3) operations or services, (4) materials in process, (5) supplies in storage, (6) maintenance operations, (7) data or records, and (8) administrative procedures.1.1 Purpose8212;This practice establishes lot or batch sampling plans and procedures for inspection by variables using MIL-STD-414 as a basis for sampling a steady stream of lots indexed by AQL. 1.2 This practice provides the sampling plans of MIL-STD-414 in ASTM format for use by ASTM committees and others. It recognizes the continuing usage of MIL-STD-414 in industries supported by ASTM. Most of the original text in MIL-STD-414 is preserved in Sections 6-9 of this practice. 1.3 The values stated in inch-pound units are to be regarded as standard. No other units of measurement are included in this standard. 1.4 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 and health practices and determine the applicability of regulatory limitations prior to use.

Standard Practice for Sampling a Stream of Product by Variables Indexed by AQL

ANSI/ASTM E2234:2009 根据合格质量标准(AQL)检索属性从产品流中取样的实施规程

Practice for Sampling a Stream of Product by Attributes Indexed by AQL

ASTM E456-08e3 与质量和统计有关的标准术语

1.1 This standard is the general terminology standard for terms defined in the standards of Committee E11 on Quality and Statistics. 1.2 A term in this standard which lists an attribution to an E11 technical standard indicates that the standard is normative for that term. Any changes in the term definition in the normative standard will be editorially changed in this standard. Any terms added to an E11 standard will be editorially added to this standard with an attribution to that standard. 1.3 Term definitions that are similar to ISO 3534 will be noted in this standard, but ISO 3534 will not be considered normative for any E11 terms.

Standard Terminology Relating to Quality and Statistics

VDI 2120-2005 矢量分析 实际应用基础

The document describes fundamentals for practical application of vector analysis.

Vector analysis - Fundamentals for practical application

GOST R ISO 16269-8-2005 统计方法.数据统计解释.预测区间测定

Statistical methods. Statistical interpretation of data. Determination of prediction intervals

BS ISO 16269-8:2004 数据的统计说明.预测差异的测定

NOTE The conditions described in this International Standard do not always correspond to the optimal conditions for allowing the maximum degree of biodegradation to occur. For biodegradation methods in fresh water see ISO 14593 and ISO 15462, and for biodegradation at low concentrations see ISO 14592.

Statistical interpretation of data - Determination of prediction intervals

ISO 16269-8:2004 数据的统计说明.第8部分:预测差异的测定

This part of ISO 16269 specifies methods of determining prediction intervals for a single continuously distributed variable. These are ranges of values of the variable, derived from a random sample of size n, for which a prediction relating to a further randomly selected sample of size m from the same population may be made with a specified confidence. Three different types of population are considered, namely: a) normally distributed with unknown standard deviation; b) normally distributed with known standard deviation; c) continuous but of unknown form. For each of these three types of population, two methods are presented, one for one-sided prediction intervals and one for symmetric two-sided prediction intervals. In all cases, there is a choice from among six confidence levels. The methods presented for cases a) and b) may also be used for non-normally distributed populations that can be transformed to normality. For cases a) and b) the tables presented in this part of ISO 16269 are restricted to prediction intervals containing all the further m sampled values of the variable. For case c) the tables relate to prediction intervals that contain at least m – r of the next m values, where r takes values from 0 to 10 or 0 to m – 1, whichever range is smaller. For normally distributed populations a procedure is also provided for calculating prediction intervals for the mean of m further observations.

Statistical interpretation of data - Part 8: Determination of prediction intervals

GOST R ISO 16269-7-2004 统计方法.数据统计解释.中位数.预估与置信区间

Statistical methods. Statistical interpretation of data. Median. Estimation and confidence intervals

KS A 0021-2002 数值四舍五入规则

RULES FOR ROUNDING OF NUMERICAL VALUES

BS 2846-8:2001 数据统计解释指南 中位数 估计和置信区间

This part of ISO 16269 specifies the procedures for establishing a point estimate and confidence intervals for the median of any continuous probability distribution of a population, based on a random sample size from the population. These procedures are distribution-free, i.e. they do not require knowledge of the family of distributions to which the population distribution belongs. Similar procedures can be applied to estimate quartiles and percentiles. NOTE The median is the second quartile and the fiftieth percentile. Similar procedures for other quartiles or percentiles are not described in this part of ISO 16269.

Guide to statistical interpretation of data. Median. Estimation and confidence intervals