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Distribution of residuals

Sorbed pesticides are not available for transport, but if water having lower pesticide concentration moves through the soil layer, pesticide is desorbed from the soil surface until a new equiUbrium is reached. Thus, the kinetics of sorption and desorption relative to the water conductivity rates determine the actual rate of pesticide transport. At high rates of water flow, chances are greater that sorption and desorption reactions may not reach equihbrium (64). NonequiUbrium models may describe sorption and desorption better under these circumstances. The prediction of herbicide concentration in the soil solution is further compHcated by hysteresis in the sorption—desorption isotherms. Both sorption and dispersion contribute to the substantial retention of herbicide found behind the initial front in typical breakthrough curves and to the depth distribution of residues. [Pg.223]

Cold working and grain distortion in working, uneven working, build up and irregular distribution of residual stresses. [Pg.251]

Example 11.15 Coke formation is a major cause of catalyst deactivation. Decoking is accomplished by periodic oxidations in air. Consider a micro-porous catalyst that has its internal surface covered with a uniform layer of coke. Suppose that the decoking reaction is stopped short of completion. What is the distribution of residual coke under the following circumstances ... [Pg.421]

Figure 1.30. A histogram of raw weights from Figure 1.29 and the distribution of residuals that resulted after subtraction of a shifted box-car average are superimposed. The CP-curve, plotted with the (NPS) option in HISTO, is for the raw weights the corresponding curve for the residuals would be about twice as steep. The asymmetry of the raw-weight distribution is evident both in the histogram and the lack of linearity of the CP-curve it is due to many subpopulations of product being lumped into one batch. Every time a mechanic makes an adjustment on a knife, a new subpopulation is created. The residuals appear to be normally distributed, however. Figure 1.30. A histogram of raw weights from Figure 1.29 and the distribution of residuals that resulted after subtraction of a shifted box-car average are superimposed. The CP-curve, plotted with the (NPS) option in HISTO, is for the raw weights the corresponding curve for the residuals would be about twice as steep. The asymmetry of the raw-weight distribution is evident both in the histogram and the lack of linearity of the CP-curve it is due to many subpopulations of product being lumped into one batch. Every time a mechanic makes an adjustment on a knife, a new subpopulation is created. The residuals appear to be normally distributed, however.
When choosing sampling locations and methods, take into account the factors which influence the crop, e.g., the plant morphology, differences in plant growth, the way the plot was treated, etc., all of which have an influence on the distribution of residues both on individual plants and in the trial plot as a whole. The actual material required to produce a field sample can be selected, as a rule, by one of the following methods ... [Pg.185]

Methods. Perhaps the best way of dealing with this thorny problem (common to not only °Th/U geochronology, but also the more classical methods of isotope geochronology as well) is to abandon the reliance on a strictly Gaussian distribution of residuals, whether arising from analytical error or geologic complexities. Robusf in the statistical sense implies insensitivity to departure of the data from the initial... [Pg.648]

Uneven distributions of residuals. The MaxEnt calculations in presence of an overall chi-square constraint suffer from highly non-uniform distributions of residuals, first reported and discussed by Jauch and Palmer [29, 30] the error accumulates on a few strong reflexions at low-resolution. The phenomenon is only partially cured by devising an ad hoc weighting scheme [20,31, 32]. Carvalho et al. have discussed this topic, and suggested that the recourse to as many constraints as degrees of freedom would cure the problem [33]. [Pg.14]

Finally, recent work of Iversen et al. has carefully examined the bias associated to the accumulation of the error on low-order reflexions, and attempted a correction of the MaxEnt density [39]. The study, based on a number of noisy data sets generated with Monte Carlo simulations, has produced less non-uniform distribution of residuals, and has given quantitative estimate of the bias introduced by the uniform prior prejudice. For more details on this work, we refer the reader to the chapter by Iversen that appears in this same book. [Pg.15]

Figure 5. L-Alanine. Fit to noisy data. Calculation A. Distribution of residual structure factor amplitudes at the end of the MaxEnt calculation on 2532 noisy data up to 0.463A. Residuals plotted ... [Pg.30]

We briefly discuss in this section the results of the valence MaxEnt calculation on the noisy data set for L-alanine at 23 K we will denote this calculation with the letter A. The distribution of residuals at the end of the calculation is shown in Figure 5. It is apparent that no gross outliers are present, the calculated structure factor amplitudes being within 5 esd s from the observed values at all resolution ranges. [Pg.30]

Normal distribution of residuals Objective Can be computerized Uses standard statistics Very insensitive Very low statistical power Not specific for nonlinearity... [Pg.436]

Although we cannot clearly determine the reaction order from Figure 3.9, we can gain some insight from a residual plot, which depicts the difference between the predicted and experimental values of cA using the rate constants calculated from the regression analysis. Figure 3.10 shows a random distribution of residuals for a second-order reaction, but a nonrandom distribution of residuals for a first-order reaction (consistent overprediction of concentration for the first five datapoints). Consequently, based upon this analysis, it is apparent that the reaction is second-order rather than first-order, and the reaction rate constant is 0.050. Furthermore, the sum of squared residuals is much smaller for second-order kinetics than for first-order kinetics (1.28 X 10-4 versus 5.39 xl0 4). [Pg.59]

Figure 4-53. Top panel weighted residuals with constant standard deviation of one bottom panel uneven distribution of residuals. Figure 4-53. Top panel weighted residuals with constant standard deviation of one bottom panel uneven distribution of residuals.
Further analysis of linearity data typically involves inspection of residuals for fit in the linear regression form and to verify that the distribution of data points around the line is random. Random distribution of residuals is ideal however, non-random patterns may exist. Depending on the distribution of the pattern seen in a plot of residuals, the results may uncover non-ideal conditions within the separation that may then help define the range of the method or indicate areas in which further development is required. An example of residual plot is shown in Figure 36. There was no apparent trend across injection linearity range. [Pg.386]

In much experimental work, the distribution of residuals (i.e., the frequency of occurrence of a particular value of residual vs. the value itselO follows a normal or gaussian curve described by the normalized equation... [Pg.50]

Intraspecies and interspecies variation in sensitivity Behavior and natural history Spatial distribution of residues... [Pg.3]

Distribution of Residues Levels in Invertebrates Collected within 24 h of Foliar Spray Applications... [Pg.4]

Plate-like particles of interest in this context include mica, aluminum flake, hammered glass, magnesium hydroxide and talc. Physical properties of composites containing these additives depend strongly on the flow-induced morphology and on the distribution of residual stresses [31]. [Pg.165]

The distribution of residues of anabolic hormonal-type growth promoters in animal tissues depends on their mode of metabolism and excretion. Residues are commonly found in muscle, fat, liver, kidney, and milk, as well as in urine, bile, and feces. In general, residue concentrations tend to be higher in the excreta than in tissues. Control of the abuse of these compounds is usually carried out through the analysis of edible tissues, injection sites, kidney, fat, urine, or even feces. In recent years, use of fecal samples has become of increasing importance because of their ease of collection in intensive livestock farming. [Pg.194]

The MRL is the EU equivalent of the US tolerance. Since in addition to consumption figures the relative distribution of residues between edible tissues is considered in the calculation of the MRL, practical withdrawal periods can be set for products containing the active substances concerned. This is an important point that differentiates the approach used to set MRLs in the Europe from the approach used by the United States to set residue tolerances. At least two tissues, one on the carcass and one organ meat, have to be designated as target tissues. [Pg.415]

The distribution of radionuclides in Sedan crater ejecta has been determined on a vertical and horizontal basis at selected sites in the area covered by ejecta. The present distribution of residual tritium represents a highly modified pattern caused by rainfall leaching. Maximum tritium concentrations are found at essentially the same depth in a transect of the ejecta field where the ejecta depth is decreasing. The source of tritium in the Sedan crater ejecta is identified as the missile ejecta layer which had greater exposure to detonation products than bulk ejecta. [Pg.124]

The different methods to produce mulitlayer shrink-joints are based on the thermal contrac tion of welding seams, as well as the mechanical tension and thermal contraction during strip-wire- or coil-winding after cooling down. Fig. 4.3-4 D shows the ideal distribution of residual... [Pg.206]

Sargent, J. S. E. and Stine, C. M. 1964. Effects of heat on the distribution of residual and added copper in whole fluid milk. J. Dairy Sci. 47, 662-663. [Pg.275]

In much experimental work, the distribution of residuals (i.e., the frequency of... [Pg.46]

Greiff, D. Factors affecting the statistical parameters and patterns of distribution of residual moisture in arrays of samples following lyophilization. J Parenter Sci Technol 44 119-128 (1990). [Pg.362]

Figure 2.40. Distribution of residual stresses or and oe (marked on the curves) inside a cylinder of radius 34 mm at a cooling rate of 1 K min 1... Figure 2.40. Distribution of residual stresses or and oe (marked on the curves) inside a cylinder of radius 34 mm at a cooling rate of 1 K min 1...
There is a substantial literature on the transformation of simple phenolic acids by microorganisms.2,7,11,16,18,20,22,25,29,44 For example, ferulic acid is transformed by fungi to either caffeic acid or vanillic acid, and these are transformed to protocatechuic acid. Next the ring structure of protocatechuic acid is broken to produce 3-carboxy-c/s,c/s-muconic acid, which is then converted to (3-oxoadipic acid (Fig. 3.1), which in turn is broken down to acetic acid and succinic acid, and these ultimately are broken down to C02 and water.11,18,29 Flowever, distribution of residual 14C-activity after growth of Hendersonula toruloidea, a fungus, in the presence of specifically 14C-labeled ferulic acid ranged from 32 to 45% in C02, 34 to 45% in cells, 9 to 20% in humic acid and 4 to 10% in fulvic acid.29 Thus, a considerable portion of the ferulic-acid carbon was bound/fixed over a 12-week period, and the initial ferulic acid transformation products (e.g., caffeic acid, vanillic acid and protocatechuic acid) were clearly of a transitory nature. Similar observations have also been made for other simple phenolic acids 22,23 however, the proportions metabolized to C02 and fixed into cells and the soil... [Pg.75]

This analysis confirmed the high purity of product and almost uniform distribution of residual impurity (Ni, Mg) amount in CNM. [Pg.518]


See other pages where Distribution of residuals is mentioned: [Pg.466]    [Pg.340]    [Pg.945]    [Pg.949]    [Pg.649]    [Pg.98]    [Pg.128]    [Pg.232]    [Pg.288]    [Pg.152]    [Pg.7]    [Pg.108]    [Pg.32]    [Pg.204]    [Pg.496]    [Pg.93]    [Pg.218]    [Pg.4]    [Pg.26]    [Pg.285]    [Pg.179]    [Pg.466]   
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