Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Variables significance

Physico-chemical characteristics of the soils were summarized in Table 1. The values were comparable to that described in the previous reports about the SERS (Doi and Sakurai 2003 Doi et al. 2004 Sakurai et al. 1998). The one-way ANOVA indicated that most of the soil variables significantly reflected the land degradation with high values of bulk density, sand content and exchangeable acidity, and low values of moisture content, pH, OM, base (K, Ca, Mg) contents, EC, CEC, base saturation rate, TN and TC contents, available phosphorus and MPN on the glucose medium with no antibiotics. These results also told that the human activities induced several soil environmental gradients. [Pg.325]

Nonspecificity Variable significance Usually significant Drug-drug interactions... [Pg.407]

As a test, the standard aspherical form factors in their proper orientations were applied in a refinement of both room temperature and low temperature (125 K), accurate, but low-resolution, data ( 0.7 A -1) on the tripeptide pGlu-Phe-D-Pro-0[CN4]-Me (PPP). The improvements on introduction of the aspherical scattering factors are dramatic, the /(-factors being reduced by 30-40% without the introduction of additional variables. Significant adjustments in the anisotropic... [Pg.275]

Joshi and Sandhu (2000) have described the production of an apple vermouth with different ethanol concentrations (12%, 15%, and 18%), sugar contents (4% and 8%), and spice extracts (2.5% and 5.0%). These variables significantly influence their respective sensory qualities. Spices extract levels did not, however, affect TSS (°Brix), titratable acidity, color,... [Pg.266]

Why is the standard deviation a good measure of variable significance Reduce the dataset to 100 significant variables with the highest standard deviations to give a 10 x 100 data matrix. [Pg.338]

Table I compares results achieved when seven variables that may affect the performance of a particular catalyst were tested one-at-a-time with results from a statistical design (fractional factorial) approach. In this comparison, a shift in measured performance is assumed to be real if it represents at least twice the uncertainty of the measuring technique. The one-at-a-time strategy, still prevalent among many catalyst researchers, requires 48 experiments to determine with 95% confidence which variables significantly impact catalyst performance. Whereas, with the fractional factorial approach, this same information was obtained in only 16 experiments with a 98.5% confidence level. The fractional factorial approach also shows possible interactions among the variables the classical one-at-a-time approach does not. Table I compares results achieved when seven variables that may affect the performance of a particular catalyst were tested one-at-a-time with results from a statistical design (fractional factorial) approach. In this comparison, a shift in measured performance is assumed to be real if it represents at least twice the uncertainty of the measuring technique. The one-at-a-time strategy, still prevalent among many catalyst researchers, requires 48 experiments to determine with 95% confidence which variables significantly impact catalyst performance. Whereas, with the fractional factorial approach, this same information was obtained in only 16 experiments with a 98.5% confidence level. The fractional factorial approach also shows possible interactions among the variables the classical one-at-a-time approach does not.
Preanalyticai and analytical variables significantly reduce the usefulness of measurements of markers of bone formation and resorption. The long-term, within-individual variability of urine markers is generally higher (15% to 60%) than that of serum markers (5% to ioo/o).3i> i >345.550,586... [Pg.1936]

Is interlaboratory variability significant Is it different than intralaboratory variability The answer on both accounts is yes. And it varies with concentration. William Horwitz and coUaborators documented interlaboratory variability over two decades by examining over, 10,000 interlaboratory data sets (see R. H. Albert, Chemical Engineering News, September 13, 1999, p 2)i T developed an expression relating.interlaboratory standard devia-tions of resultSi S, to concentratioii,. G. (expressed as decimal fraction, e.g.,... [Pg.132]

Natural convection currents will develop if there exists a significant variation in density within a liquid or gas phase. The density variations may be due to temperature differences or to relatively large concentration differences. Consider natural convection involving mass transfer from a vertical plane wall to an adjacent fluid. Use the Buckingham method to determine the dimensionless groups formed from the variables significant to this problem. [Pg.101]

Pentathianes. Reaction of thioketones with elemental sulfur (Equation 23) - only two examples with thiophenones recently reported yields variable, significant by-products. [Pg.782]

Organophosphorus compounds. Laboratory evidence of poisoning may be obtained by measuring decreases in the plasma pseudocholinesterase (PChE) and red blood cell acetylcholinesterase (AChE) activities. However, because of wide interindividual variability, significant depression of enzyme activity may occur but still fall within the normal range. It is most... [Pg.293]

MARS represents one of the most complex nonlinear methods [10]. This method is based on the idea that only few variables significantly influence the dependent variable in subspaces of the multidimensional space. If these subspaces can be identified, and therefore the corresponding variables assigned, it should be possible to approximate linear or cubic splines to the observations. The fundamentals of spline functions were discussed in Section 3.1. [Pg.265]

I) The disappearance of symptoms after the withdrawal of the drug. This is of extremely variable significance, because a number of allergic reactions seem to be transient, even if the drug is continued, especially maculopapular eruptions (Hoigne et al. 1978)... [Pg.196]

As a first step we employed all three variables in clustering. An F-test revealed the significance of the individual variables in grouping. Table 3 illustrates the results of the F-test and the variables significance (p<0.05). This data confirms our Hypotheses I and II from the subgroup... [Pg.71]

Primary Attributes Significantly nonlinear processes with difficult dynamics, little or no interactions among the process variables. Significant nonlinearity and difficult dynamics. [Pg.46]

All the independent variables significantly influence the gel content (yi2), which is a sensitive indicator of the quality of the polymer network created from reactive multifunctional components. Its dependence on the molar ratio COOH/epoxy and the filler content is shown in Fig, 14. The gel content has a linear growth with the increase of epoxide concentration and decreasing content of filler. In the absence of catalyst, the dependence on the epoxide concentration is steeper, because in these conditions the homoaddition reactions of epoxide are preferred. In the presence of a sufficient quantity of... [Pg.699]


See other pages where Variables significance is mentioned: [Pg.74]    [Pg.1748]    [Pg.319]    [Pg.147]    [Pg.453]    [Pg.473]    [Pg.240]    [Pg.452]    [Pg.290]    [Pg.468]    [Pg.454]    [Pg.209]    [Pg.454]    [Pg.254]    [Pg.635]    [Pg.68]    [Pg.336]    [Pg.98]    [Pg.98]    [Pg.144]    [Pg.647]    [Pg.1752]    [Pg.292]    [Pg.105]    [Pg.166]    [Pg.163]    [Pg.69]    [Pg.107]    [Pg.762]    [Pg.1161]    [Pg.365]    [Pg.171]    [Pg.234]   
See also in sourсe #XX -- [ Pg.96 ]




SEARCH



Demographic variables statistically significant

Identification of Significant Variables

Projections down to a space spanned by the significant variables

Significant variables

Significant variables

© 2024 chempedia.info