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Relative Sensitivity Plot

Relative Sensitivity Plot Another type of analysis developed by J. C. Agarwal and I. V. Klumpar (Chem. Eng., pp. 66-72, Sept. 29, 1975) is the relative sensitivity plot. The variables studied are related to those in the base case, and the resulting plot is the relative profitability. [Pg.33]

These differences and hence the advantages are more pronounced for low-y nuclei. ° A plot of the relative sensitivity of the ST approach to the MQ approach was evaluated by numerical simulation as a function of the parameter (vi/vq) the ST experiment shows a factor of at least three better sensitivity, which is a significant advantage (Figure 2C). Although more use of STMAS has developed, it has not yet become as popular as the MQ approach, probably as a result of its reputation as an experiment... [Pg.34]

It has been shown that the two-phase pressure variation for palladium-hydrogen yields values of ASa— and AHa—/ , and that these values are closely temperature independent. The temperature independence results because the value of the integral in Equation 21 can be approximated closely by the corresponding relative partial value at the critical composition. Variations of ASg o and AHh—o with temperature (see Figure 6) are apparently too small to be detected in the plot of In /22(two-phase) against T ly but can be detected by the more sensitive plot of RT In P /2 against T or possibly could be detected by calorimetric determinations of AHa—over a wide temperature range. [Pg.307]

Empirical Methods. The empirical methods use calibration standards to derive sensitivity factors that can be used to determine the unknown concentration of given elements in similar matrices [3. The sensitivity factors are derived from calibration curves that plot measured secondary ion intensities versus the known concentration of standards. Three types of sensitivity factors have been used the absolute sensitivity factor, the relative sensitivity factor, and the indexed relative elemental sensitivity factor. [Pg.168]

In order to compare the relative sensitivity of the MARA test with some ecotoxicity tests, representative plots of AQC data routinely obtained at an accredited laboratory... [Pg.113]

One of the most significant problems with the search for sensitivity predictors lies in the misuse of correlation analysis. It is a fundamental rule of statistical analysis that the data that are used to infer a correlation cannot be used to prove its existence. So if a study of these four substituted benzene compounds suggested that sensitivity is correlated with some spectroscopic transition or some bond parameter, then the existence of this correlation can only be proven by examining its validity using a large number of other materials not used to infer the correlation s existence. A true theory of sensitivity that resulted should be better than one which simply reaffirms the position of four compounds on a sensitivity plot—it should be equally able to tell us the relative sensitivities of new and different explosive compounds and in addition that nonexplosive compounds such as sodium chloride or liquid nitrogen will not explode. [Pg.142]

Figure 9 is the sensitivity plot highlighting the relative importance of the random input variables on S 1 TE. In this figure, a positive correlation for a given RIV means that as this variable increases so does SI TE, and vice versa. The following can be concluded for figure 9 ... [Pg.164]

Figure 10 is the sensitivity plot highlighting the relative importance of the random input variables on SI Jnsuiator. The following can be concluded ... [Pg.166]

Experimental examination of a three-component system of two analytes (A and B) and the impurity (E) in order to determine the relative sensitivities kA and ke leads to an unexpected result (see Figure 1.8). In this experiment the concentrations of the two analytes tetrabutylammonium and cocaine (upper figure) or tetrabutylammo-nium and codeine (lower figure) are increased together such that Ca=Cb. The concentration (Ce) of the impurity is constant. It is easily shown using Eq. (1.11b) that when Ca = Cb and Ce is much larger than Ca and Cb, the relationship Ia/Ib = a/ b holds. In the log-log plot used, the difference, log Ia — log Ib should correspond to the difference log — log = log(kA/kB) and should be constant and in general not... [Pg.18]

Fig. 9.7 Histograms showing (a) typical response of various ordde SEs to 400 ppm NO at 850 °C and (b) relative sensitivity to CjH and CH (400 ppm each) of impedancemetric sensors using each of various single-oxide SEs at 600 °C. Inset shows modeling of complex impedance plots. Points on dashed lines correspond to 1 Hz. (a) Reprinted with permission from Zhuiykov and Miura (2007). Copyright 2007 Elsevier and (b) Reprinted with permission from... Fig. 9.7 Histograms showing (a) typical response of various ordde SEs to 400 ppm NO at 850 °C and (b) relative sensitivity to CjH and CH (400 ppm each) of impedancemetric sensors using each of various single-oxide SEs at 600 °C. Inset shows modeling of complex impedance plots. Points on dashed lines correspond to 1 Hz. (a) Reprinted with permission from Zhuiykov and Miura (2007). Copyright 2007 Elsevier and (b) Reprinted with permission from...
Fig. 37C.9. Plot of experimentally determined and of computed relative sensitivity coefficients for rare earths in Y2O3. Fig. 37C.9. Plot of experimentally determined and of computed relative sensitivity coefficients for rare earths in Y2O3.
Figure 24 (A) Conventional band-selective HSQMBC and (B) HOBS-selHSQMBC spectra of (2) acquired under the same experimental conditions. A selected ID slice is plotted for each spectrum at the same absolute scale to compare the relative sensitivity and resolution achieved in the 2D spectra. Adapted from Ref. [157],... Figure 24 (A) Conventional band-selective HSQMBC and (B) HOBS-selHSQMBC spectra of (2) acquired under the same experimental conditions. A selected ID slice is plotted for each spectrum at the same absolute scale to compare the relative sensitivity and resolution achieved in the 2D spectra. Adapted from Ref. [157],...
The plot immediately shows whioh of the parameters the 10% NPV is most sensitive to the one with the steepest slope. Consequently the variables can be ranked in order of their relative impact. [Pg.327]

Figure IV-10 illustrates how F may vary with film pressure in a very complicated way although the v-a plots are relatively unstructured. The results correlated more with variations in film elasticity than with its viscosity and were explained qualitatively in terms of successive film structures with varying degrees of hydrogen bonding to the water substrate and varying degrees of structural regularity. Note the sensitivity of k to frequency a detailed study of the dispersion of k should give information about the characteristic relaxation times of various film structures. Figure IV-10 illustrates how F may vary with film pressure in a very complicated way although the v-a plots are relatively unstructured. The results correlated more with variations in film elasticity than with its viscosity and were explained qualitatively in terms of successive film structures with varying degrees of hydrogen bonding to the water substrate and varying degrees of structural regularity. Note the sensitivity of k to frequency a detailed study of the dispersion of k should give information about the characteristic relaxation times of various film structures.
Figure Bl.25.5. (a) XPS spectra at take-off angles of 0° and 60° as measured from the surface nonnal from a silicon crystal with a thin layer of Si02 on top. The relative intensity of the oxide signal increases significantly at higher take-off angles, illustrating that the surface sensitivity of XPS increases, (b) Plot of... Figure Bl.25.5. (a) XPS spectra at take-off angles of 0° and 60° as measured from the surface nonnal from a silicon crystal with a thin layer of Si02 on top. The relative intensity of the oxide signal increases significantly at higher take-off angles, illustrating that the surface sensitivity of XPS increases, (b) Plot of...
An alternative mechanism of excess energy release when electron relaxation occurs is through x-ray fluorescence. In fact, x-ray fluorescence favorably competes with Auger electron emission for atoms with large atomic numbers. Figure 16 shows a plot of the relative yields of these two processes as a function of atomic number for atoms with initial K level holes. The cross-over point between the two processes generally occurs at an atomic number of 30. Thus, aes has much greater sensitivity to low Z elements than x-ray fluorescence. [Pg.280]


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