ASTM E2334-09(2013)由美国材料与试验协会 US-ASTM 发布于 2009。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的最新版本是哪一版?最新版本是 ASTM E2334-09(2023) 。ASTM E2334-09(2013)的历代版本如下: 2023年 ASTM E2334-09(...
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 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,...
标准号:ASTM E2334-2009(2013) 中文标准名称: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 英文标准名称:Standard Practice for Setting an Upper Confidence Bound For a Fraction or Number of Non-Conforming items, or a Rate of Occurrence for Non-conform...
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ASTM D2334-88e1 ASTM D3600-81e1 ASTM D2948-81e1 ASTM F759-88e1 ASTM F535-79e1 ASTM D1947-93e1 ASTM D3221-81e1 ASTM E208-08 adjunct ASTM E87-58(1978) ASTM D3254-81e1 ASTM PS81-98e1 ASTM E513-74(1980)e1 ASTM E435-77(1992)e1 ...
ELABO德国进口94-1FZ807 ECKERLEEVL_123603L7W110 AhlbornMess-undRegelungstechnikGmbHMR783851P+OR7838IS4 数显表TA-MINI-6S485-00001 14038.12PZ HPBYBM8A3 BeckhoffM6350-001 HDS3NC 产品280-517 SVENDBORGMD550409-1563-801 P1S-4CMF binks德国进口maintenancepackage25BM26 ...
ASTM E112 Standard Test Methods for Determining Average Grain Size ASTM E1245 Standard Practice for Determining the Inclusion or Second Phase Constituent Content of Metals by Automatic Image Analysis ASTM E18 Standard Test Methods for Rockwell Hardness of Metallic Materials ...
《ASTM E2334-2009 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 Attributl.pdf》由会员分享,可在线阅读,更多相关《ASTM E2334-2009 Standard Practice for Setting an Upper Confidence Bound ...
ASTM E112 Standard Test Methods for Determining Average Grain Size ASTM E1245 Standard Practice for Determining the Inclusion or Second Phase Constituent Content of Metals by Automatic Image Analysis ASTM E18 Standard Test Methods for Rockwell Hardness of Metallic Materials ...
ASTM E2334-09(2023) 适用范围 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 (...