ASTM E2334-09(2013)
当样品中有零响应时用特征数据,规定不一致项的份量或数量或不一致发生率的置信上界的标准实施规程

Standard Practice for Setting an Upper Confidence Bound For a Fraction or Number of Non-Conforming items, or a Rate of Occurrence for Non-conformities, Using Attribute Data, When There is a Zero Response in the Sample

被代替

ASTM E2334-09(2013) 发布历史

ASTM E2334-09(2013)由美国材料与试验协会 US-ASTM 发布于 2009。

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ASTM E2334-09(2013)的历代版本如下：

• 2023年 ASTM E2334-09(2023) 当样品中有零响应时 使用属性数据设置不符合项的分数或数量或不符合项发生率的置信上限的标准实施规程
• 2018年 ASTM E2334-09(2018) 用于设定分数或不合格项目的上限置信度的标准做法 或不符合项发生率 使用属性数据时 样本中有零响应
• 2009年 ASTM E2334-09(2013)e2 在样本中存在零响应的情况下使用属性数据设置不符合项的分数或者数值, 或者不符合项的发生率上限置信度
• 2009年 ASTM E2334-09(2013)e1 在试样零响应时使用属性数据设置不合格项百分率或数量或者不合格发生率的上置信界限的标准实施规程
• 2009年 ASTM E2334-09(2013) 当样品中有零响应时用特征数据,规定不一致项的份量或数量或不一致发生率的置信上界的标准实施规程
• 2009年 ASTM E2334-09 当样品中存在零反应时使用属性数据为不合格项的系数或数量或不合格发生率设定上置信限的实施规范
• 2008年 ASTM E2334-08 当样品中有零响应时 使用属性数据设置不符合项的分数或数量或不符合项发生率的置信上限的标准实施规程
• 2003年 ASTM E2334-03e1 当样品中存在零反应时使用属性数据为不合格产品比值或数值或不一致发生率设定一个上限置信区间的标准规程
• 2003年 ASTM E2334-03 当样品中存在零反应时使用属性数据为不合格产品比值或数值或不一致发生率设定一个上限置信区间的标准规程

4.1 In Case 1, the sample is selected from a process or a very large population of interest. The population is essentially unlimited, and each item either has or has not the defined attribute. The population (process) has an unknown fraction of items p (long run average process non-conforming) having the attribute. The sample is a group of n discrete items selected at random from the process or population under consideration, and the attribute is not exhibited in the sample. The objective is to determine an upper confidence bound, pu, for the unknown fraction p whereby one can claim that p ≤ pu with some confidence coefficient (probability) C. The binomial distribution is the sampling distribution in this case.

4.2 In Case 2, a sample of n items is selected at random from a finite lot of N items. Like Case 1, each item either has or has not the defined attribute, and the population has an unknown number, D, of items having the attribute. The sample does not exhibit the attribute. The objective is to determine an upper confidence bound, Du, for the unknown number D, whereby one can claim that D ≤ Du with some confidence coefficient (probability) C. The hypergeometric distribution is the sampling distribution in this case.

4.3 In Case 3, there is a process, but the output is a continuum, such as area (for example, a roll of paper or other material, a field of crop), volume (for example, a volume of liquid or gas), or time (for example, hours, days, quarterly, etc.) The sample size is defined as that portion of the “continuum” sampled, and the defined attribute may occur any number of times over the sampled portion. There is an unknown average rate of occurrence, λ, for the defined attribute over the sampled interval of the continuum that is of interest. The sample does not exhibit the attribute. For a roll of paper this might be blemishes per 100 ft2; for a volume of liquid, microbes per cubic litre; for a field of crop, spores per acre; for a time interval, calls per hour, customers per day or accidents per quarter. The rate, λ, is proportional to the size of the interval of interest. Thus, if λ = 12 blemishes per 100 ft2 of paper, this is equivalent to 1.2 blemishes per 10 ft2 or 30 blemishes per 250 ft2. It is important to keep in mind the size of the interval in the analysis and interpretation. The objective is to determine an upper confidence bound, λu, for the unknown occurrence rate λ, whereby one can claim that λ ≤λu with s......

标准号

ASTM E2334-09(2013)

发布

2009年

发布单位

美国材料与试验协会

替代标准

ASTM E2334-09(2013)e1

当前最新

ASTM E2334-09(2023)

 

 

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