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Sample correct

If necessary, the fit can be improved by increasing the order of the polynomial part of Eq. (9-89), so that this approach provides a veiy flexible method of simulation of a cumulative-frequency distribution. The method can even be extended to J-shaped cui ves, which are characterized by a maximum frequency at x = 0 and decreasing frequency for increasing values of x, by considering the reflexion of the cui ve in the y axis to exist. The resulting single maximum cui ve can then be sampled correctly by Monte Carlo methods if the vertical scale is halved and only absolute values of x are considered. [Pg.824]

Figure 3.3. Average carbon isotopic ratios for human bone collagen samples, corrected for climatic trends. Only countries with more than 10 samples are included. For a description of the climate correction procedure see text. Figure 3.3. Average carbon isotopic ratios for human bone collagen samples, corrected for climatic trends. Only countries with more than 10 samples are included. For a description of the climate correction procedure see text.
It is important to note that since the amounts of radioactive material produced are so extremely small (some 10 % of the total is typical) it is usually necessary to add macro quantities—10-100 mg—of each compound expected to be present, in order to effect a good separation and to measure the chemical yield of the carrier. The yield measured is the radioactivity in each separated chemical species as a fraction of the total radioactivity in the sample, corrected to 100% chemical yield of each respective carrier. The term retention is commonly used to refer to the yield of the parent compound. This term has the disadvantage, however, of implying that the radioactive atom remained in the same molecule. Since it often appears that the molecule is only later reconstituted, the terms yield and parent yield are to be preferred. [Pg.214]

The curve illustrates the sharpness of tests depending on the discrimination limit. In this way, TPR and TNR may be recognized and the unreliability region around the limit of specification can be estimated. Beyond the limits of the unreliability interval, it is possible to classify samples correctly apart... [Pg.115]

Fraction of a lot (batch sample) taken Gy [1992] without respecting the rules for sampling correctness or under unknown conditions. [Pg.326]

Corrected Temp, C Cumulative Volume Distilled % of Sample Corrected Temp, C Cumulative Volume Distilled % of Sample... [Pg.170]

Chemicals quality of deionized water and chemicals for buffer preparation and rinsing, standards for quantification and selectivity verification, test samples, correct transport and storage conditions... [Pg.118]

It is vain to address the subsequent objective of CSE-reduction without unconditional commitment to and respect for me rules for sampling correctness. All pertinent specifications were given above. Nobody and no science (chemometrics included) will be able to escape from neglect without suffering significant scientific and economic penalties. [Pg.78]

Sample type Polymer type Sources Samples % correct (absorbance model) % correct (second-derivative model)... [Pg.514]

Mass recovery of MA samples was checked by using the concentration (DRl) detector response (mass/area ratio) of the corresponding LB arm it was assumed that the detector response was identical for compositionally similar samples. Corrections for 38% and 9% sample loss were applied to the "mass injected" in the SEC/LALLS data for (Sl-1) DVB and (Sl-2) DVB, respectively. [Pg.304]

We claim that if you know state populations, you have sampled well — at least in an equilibrium sense. Put another way, we believe it is impossible to devise an algorithm — dynamical or non-dynamical — that could correctly sample state populations without sampling correctly within states. The reason is... [Pg.42]

The main objective of this experiment was to demonstrate that a peptide lead compound could be used in rational design of a non-peptide library. One of the natural opiates, met-enkephalin, is used as a hypothetical lead compound. The averaged frequency distribution based on four SA runs is obtained (data not shown). Based on this result, 03 had the highest frequency, and the frequencies of A4, Dll, D13, D14, D16, D2, D3, D5, and D9 are also above random expectation. Apparently, 03 appeared in all the reported active peptoids with opioid activity (cf. Table 1). Comparison of the structure of met-enkephalin (Fig. 5) with 03 indicated that 03 is similar to the side chain of tyrosine, which is the N-terminal residue of met-enkephalin. Among other building blocks found more frequently than random expectation, A4, D3, and D13 are present in the reported opioid peptoids (cf. Table 1). Thus, the SA sampling correctly identified four... [Pg.391]

N = Normality of Na thiosulfate soln W = Weight of sample corrected for... [Pg.147]

Table VI shows the major element composition of the samples as determined by the various laboratories. This table was compiled to emphasize that while there are large discrepancies in the results, most of the laboratories could characterize the samples correctly. Thus, sample 1 is a moderately high tin bronze (Sn ca. 15% ) with about 1% lead and little iron or zinc. Laboratories that fail on the tin value in this characterization are 01 (old), and 04 (old), possibly 05 with a tin value of 20% (although this is an optical emission spectrographic value and falls in the right range), 24 (which doesn t claim any accuracy for its tin result), and 34. Laboratory 01 (old) also has a low lead value as do 08 and 24. Thus, six of 23 laboratories (or about 25% of the results) fail to characterize the samples correctly while the other 17 characterize this sample as a moderately high tin bronze with a little lead. Table VI shows the major element composition of the samples as determined by the various laboratories. This table was compiled to emphasize that while there are large discrepancies in the results, most of the laboratories could characterize the samples correctly. Thus, sample 1 is a moderately high tin bronze (Sn ca. 15% ) with about 1% lead and little iron or zinc. Laboratories that fail on the tin value in this characterization are 01 (old), and 04 (old), possibly 05 with a tin value of 20% (although this is an optical emission spectrographic value and falls in the right range), 24 (which doesn t claim any accuracy for its tin result), and 34. Laboratory 01 (old) also has a low lead value as do 08 and 24. Thus, six of 23 laboratories (or about 25% of the results) fail to characterize the samples correctly while the other 17 characterize this sample as a moderately high tin bronze with a little lead.
Centr 1 is calcd by converting the % of DPhA detd in opn (d) of (A) to its equivalent volume of normal Na thiosulfate soln and subtracting this value from the vol of notmal Na thiosulfate soln equivalent to the sum of the brominated stabilizers as obtained in opn (e) of (B). If D(mls of normal Na thiosulfate soln equivalent to DPhA in sample) is equal to (JSDPhAx W)/2.115, then % Centr 1 is equal to [6.71(C-D)] /W, where C=ml of normal Na thiosulfate soln equivalent to the sum of the stabilizers in sample and W=wt of sample corrected for total volatiles... [Pg.528]

It should be apparent that the magnetic susceptibility x of a paramagnetic sample (corrected for diamagnetism) should be infinite at absolute zero (with perfect alignment of the magnetic dipoles, or 100% population of the lowest Zeeman state) and zero at infinite temperature (random alignment of dipoles, equal population of Zeeman states). An obvious expression which embodies these conditions is ... [Pg.73]

Figure 1. Ca and P concentrations in Egyptian bones. Key o, samples from mummies A, buried bones O and buried samples corrected for dilution by the organic component and soil contamination. Figure 1. Ca and P concentrations in Egyptian bones. Key o, samples from mummies A, buried bones O and buried samples corrected for dilution by the organic component and soil contamination.
We examined the fundamentals of one-dimensional sampling in the previous chapter, and we can characterize variation in time as one-dimensional. A onedimensional stream in time can be moving or stationary. It can be a stream of solid particles, a liquid, or a gas. The liquid can have suspended solids and the gas can have suspended liquids or solids. Such material is difficult to sample correctly, even in the controlled environment of the lab. In addition to solid or... [Pg.58]


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See also in sourсe #XX -- [ Pg.26 , Pg.28 , Pg.29 , Pg.32 , Pg.35 , Pg.64 ]




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