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Nose count test

It is important to note that if an indicator has little validity, its covariance with other indicators may not produce a clear peak. When there are reasons to believe that one of the indicators has poor validity—reasons that are more serious than not finding enough peaks in the output—it should not be automatically inferred from this failure of the nose count test that the taxon does not exist. The best way to solve this problem is to evaluate a different set of indicators or to drop the invalid indicator. [Pg.47]

Clearly, the GFI is a useful index. How should one interpret a low GFI The only way to do so is by considering the results of the other consistency tests. If the nose count test failed, or cleared the threshold by a close margin,... [Pg.48]

MAMBAC offers two standard internal consistency tests, the nose count test and the base rate variability test. MAMBAC allows for two analyses per pair of indicators, which means that two indicators produce two plots, three indicators produce six plots, four indicators produce 12 plots, five indicators produce 20 plots, etc. Waller s MAMBAC does not do this automatically, and the investigator has to run each analysis independently. Ruscio s software, on the other hand, is fully automatic. [Pg.79]

Nose count and base rate variability consistency tests are possible with MAXSLOPE, although it is not yet clear how these tests behave when the underlying distributions are of the difficult kind. Luckily, MAXSLOPE puts less emphasis on internal consistency testing and stresses external consistency testing instead. MAXSLOPE is different from other taxometric algorithms and thus can provide a strong test of external consistency for other procedures. [Pg.83]

Start off your test with some deep breathing. In through the nose, out through the mouth to the count of at least ten. Do this several times. It will get your body to let go and relax a little bit more. [Pg.16]

Electronic nose technology and analysis of volatiles has long been apphed in the food industry to control the quahty of food products and to determine shelf hves. For example, sensor arrays based on different Sn02 gas sensors can be used to distingiush milk products of different rancidity levels [41]. Standard microbial test prediction of shelf hfe of milk products has a low level of reliability due to relatively poor correlation between microbial counts and actual shelf hfe. Several alternative methods have therefore been developed. One method is based on dynamic headspace capillary gas chromatography analyses of volatiles in mUk followed by MDA analyses. [42]. Principals of this method were later used for development of a faster and simpler test, where the extraction was performed by the SPME technique, the extracts... [Pg.8]

Divided attention psychophysical tests. Four tests that measure motor control, balance, and the ability to count and estimate time. The tests include (a) walk-and-tum test, in which the subject has to walk heel-to-toe along a line, 9 steps in each direction (b) one-leg-stand test, in which the subject has to stand on one leg, keep both arms at the sides of the body, and coimt for 30 seconds, and then repeat the process while standing on the other leg (c) Romberg balance test, in which the subject has to stand straight with the eyes closed for an estimated 30 sseconds and (d) finger-to-nose test, in which the subject has to touch the nose widi a finger six times while the eyes are closed and the two hands are outstretched to the sides. [Pg.500]


See other pages where Nose count test is mentioned: [Pg.46]    [Pg.47]    [Pg.48]    [Pg.68]    [Pg.71]    [Pg.85]    [Pg.46]    [Pg.47]    [Pg.48]    [Pg.68]    [Pg.71]    [Pg.85]    [Pg.93]    [Pg.166]    [Pg.261]    [Pg.372]    [Pg.458]    [Pg.871]    [Pg.238]    [Pg.261]    [Pg.437]   
See also in sourсe #XX -- [ Pg.46 , Pg.71 ]




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