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Attribute testing

In contrast to variable testing (comparison of measured values or analytical values), attribute testing means testing of product or process quality (nonconformity test, good-bad test) by samples. Important parameters are the sample size n (the number of units within the random sample) as well as the acceptance criterion naccept, both of which are determined according to the lot size, N, and the proportion of defective items, p, within the lot, namely by the related distribution function or by operational characteristics. [Pg.92]

According to the number of defective items ndefect, which have been determined in the sample results are required for,  [Pg.92]

In contrast to classical statistical tests, three test outcomes exist  [Pg.92]

This model leads to sequential tests, which generally use three outcomes and which represent the most effective variant of quality control. [Pg.93]


Sequential investigations may be used for both attribute testing and quantitative measurements (variable testing). The fact that it is enough to perform only as many tests or measurements as are absolutely necessary, is of great advantage in such cases if individual samples are either difficult to obtain or expensive, or if the same is true for the measurement. [Pg.119]

Data evaluation can be done by calculation or graphically. An example of graphical sequential analysis is given in Fig. 4.12 for attribute testing. [Pg.119]

In the case of attribute testing, limit curves for acceptance and rejection are normally straight lines. In case of variable testing, they are mostly nonlinear functions (Graf et al. [1987]). [Pg.119]

Friedel, R.R., and Cundell, A.M., The application of water activity measurement to the microbiological attributes testing of nonsterile OTC drug products, Pharm. Forum, 25(2) 6087-6090 (1998). [Pg.234]

Factors that should not be matrixed include initial and final time points, attributes (test parameters), dosage forms, strengths with different formulations (i.e., different excipients or different active and excipient ratios), and storage conditions. [Pg.47]

Specific attribute Test 1 (A = 75) Test 2 (A =73) Total consistent... [Pg.224]

Table XI compares the partial derivatives for common chemical components and attributes tested in the different experiments. Such... Table XI compares the partial derivatives for common chemical components and attributes tested in the different experiments. Such...
A PSO algorithm that was applied by Trigueros et al. (2010) to solve problems with continuous variables was modified to consider also discrete variables. A numeric generator function in the 0-1 range and a cut-oflf value condition were introduced in the PSO algorithm (Eqs. 22 and 23). In addition, the modified PSO algorithm applied for synthesis of reuse water networks included a complementary binary attribution test (Eqs. 24 and 25). [Pg.286]

Level 3, however, is defined as commodity typical . It needs to be achieved in order for the respective product to have the attribute tested for noxious substances . [Pg.1222]

In addition to the quantitative measurements performed by an inspector, in some cases a quahtative measurement (attribute testing) is sufficient, e.g., simply confirming the presence of a representative isotope based on a typical gamma ray. [Pg.2906]

Observation of the Cherenkov radiation from irradiated reactor fuel assemblies is used to obtain qualitative confirmation (attribute testing) of the presence of spent fuel in storage by scanning rows of assemblies from the pool bridge. Characteristic patterns formed by the arrangements of rods and holes in fuel assemblies have to be observed to ensure a valid verification. A well-trained inspector can easily detect the presence of an inactive dummy assembly surrounded by highly active neighbors. [Pg.2928]

Despite the similar chemical nature, there is no evidence for cross-reactivity between phenol-formaldehyde resin and PTBP-FR (Geldof et al. 1989). Some authors have attributed test reactions to PTBP-FR to free formaldehyde however, most patients are actually not allergic to formaldehyde. Schubert and Agatha (1979) performed patch-test studies with the chroma-tographically extracted ingredients of commercially available PTBP-FR. They found two linear condensates named 2-hydroxy-5-tert.-butylbenzylalcohol and 2,2 -dihydroxy-3,3-di-(2-hydroxy-5-tertiary butyl)-benzyl-5,5-ditertiary butyl-diphenylmethan to be the real allergens. [Pg.644]

No. Test Attributes Tests / Test Specimens Frequency Requirements and Tolerances... [Pg.462]

No. Test Attribute Tests / Test Frequency Requirements and... [Pg.464]

LSI Logic has a four cycle test application sequence which imposes certain requirements on bidirectionals and their mode in each cycle. All bidirectional ports must be in the input mode in cycles 1,3 and 4. This is accomplished by activating the bidirectional output inhibit signal in the cycles 1,3 and 4. This signal that controls the direction of the bidirectional ports needs to be a primary input port and must have the sIgnaLtype attribute test bidir controlUnverted] in TC. [Pg.239]


See other pages where Attribute testing is mentioned: [Pg.12]    [Pg.12]    [Pg.118]    [Pg.118]    [Pg.119]    [Pg.92]    [Pg.92]    [Pg.93]    [Pg.327]    [Pg.327]    [Pg.474]    [Pg.48]    [Pg.146]    [Pg.146]    [Pg.238]    [Pg.238]   
See also in sourсe #XX -- [ Pg.92 ]

See also in sourсe #XX -- [ Pg.92 ]




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