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Bounding statistical

Considering that both grafting efficiency as well as conversion in this study shows optimal values for pH 4 - 7, we have used pH 5 which favors the attachment of ferrous ion on partial cellulose xanthate and other ion exchange groups present. (The term "partial cellulose xanthates" stands for xanthates bound statistically to any component of the pulp (cellulose, hemicellulose, lignin). The importance of the presence of ferrous ions on grafting is shown in Diagrams I-II-III, which show reaction mechanism sug-... [Pg.272]

The drawback of the statistical approach is that it depends on a model, and models are bound to oversimplify. Nevertheless, we can learn a great deal from the attempt to evaluate thermodynamic properties from molecular models, even if the effort falls short of quantitative success. [Pg.507]

Statistical Process Control Statistical process control (SPG), also called statistical quahty control (SQC), involves the apphcation of statistical concepts to determine whether a process is operating satisfactorily The ideas involved in statistical quahty control are over fifty years old, but only recently with the growing worldwide focus on increased productivity have applications of SPG become widespread. If a process is operating satisfactorily (or in control ), then the variation of product quahty tails within acceptable bounds, usually the minimum and maximum values of a specified composition or property (product specification). [Pg.735]

Repeating an axiom stated earher, mechanical samplers are designed to extrac t increments of sample from a bulk quantity of material B in a manner that increments S are representative within statistical bounds of the bulk B. Further, the sampler is designed and constructed in conformance to criteria stated previously under Mechanical Delimitations of Sampling to assure that negligible errors arise from mechanical influence. [Pg.1759]

Because many kinds of features have steep sides, tip imaging is a common plague of SFM imj es. One consolation is that the height of the feature will be reproduced accurately as long as the tip touches bottom between features. Thus the roughness statistics remain fairly accurate. The lateral dimensions, on the other hand, can provide the user with only an upper bound. [Pg.97]

The Committee is unable to determine whether the absolute probabilities of accident sequences in WASH-1400 are high or low, but it is believed that the error bounds on those estimates are, in general, greatly understated. This is due in part to an inability to quantify common cause failures, and in part to some questionable methodological and statistical procedures. [Pg.4]

Computerized Aggregate of Reliability Parameters (CARP) A computer code developed by SAIC to aggregate data sets into a single generic set determine uncertainty bounds (5th and 95th percentiles) fit raw data to statistical distributions and print reports documenting determinations made. [Pg.285]

For the second method the threshold concentration of the filler in a composite material amounts to about 5 volume %, i.e. below the percolation threshold for statistical mixtures. It is bound up with the fact that carbon black particles are capable (in terms of energy) of being used to form conducting chain structures, because of the availability of functional groups on their surfaces. This relatively sparing method of composite material manufacture like film moulding by solvent evaporation facilitates the forming of chain structures. [Pg.132]

The implications and interpretations of this theorem require considerable discussion and this will precede the proof. First observe that Eq. (4-91) yields a bound on error probability independent of the source statistics thus it is applicable to any source of rate less than R after appropriate source coding. [Pg.222]

One of the major questions that should always be asked of any estimation technique is whether is is optimal. This problem can be addressed using Cramer-Rao bounds and we illustrate this in Section 24.4. We conclude this chapter in Section 24.5 with the application of these statistical techniques to the Shack-Hartmann and curvature sensors. [Pg.377]

A typical field test involves several steps (a) transporting the mobile unit to the site (b) instrument warmup (c) system check out, consisting of mobile unit measurements of distilled water and a 1-ppm stock phenol solution and (d) in situ measurements of the well water, repeated three times for statistical analysis. Signal levels recorded at a field site may be reported as equivalents of phenol (or other calibrant) using the calibration curves. Therefore, this method allows us to report the upper bounds of pollution levels. [Pg.236]

A systematic difference is found, supported by indirect evidence that from experience precludes any explanation other than effect observed. This case does not necessarily call for a statistical evaluation, but an example will nonetheless be provided in the elemental analysis of organic chemicals (CHN analysis) reproducibilities of 0.2 to 0.3% are routine (for a mean of 38.4 wt-% C, for example, this gives a true value within the bounds 38.0. .. 38.8 wt-% for 95% probability). It is not out of the ordinary that traces of the solvent used in the... [Pg.44]

Figure 4.31. Key statistical indicators for validation experiments. The individual data files are marked in the first panels with the numbers 1, 2, and 3, and are in the same sequence for all groups. The lin/lin respectively log/log evaluation formats are indicated by the letters a and b. Limits of detection/quantitation cannot be calculated for the log/log format. The slopes, in percent of the average, are very similar for all three laboratories. The precision of the slopes is given as 100 t CW b)/b in [%]. The residual standard deviation follows a similar pattern as does the precision of the slope b. The LOD conforms nicely with the evaluation as required by the FDA. The calibration-design sensitive LOQ puts an upper bound on the estimates. The XI5% analysis can be high, particularly if the intercept should be negative. Figure 4.31. Key statistical indicators for validation experiments. The individual data files are marked in the first panels with the numbers 1, 2, and 3, and are in the same sequence for all groups. The lin/lin respectively log/log evaluation formats are indicated by the letters a and b. Limits of detection/quantitation cannot be calculated for the log/log format. The slopes, in percent of the average, are very similar for all three laboratories. The precision of the slopes is given as 100 t CW b)/b in [%]. The residual standard deviation follows a similar pattern as does the precision of the slope b. The LOD conforms nicely with the evaluation as required by the FDA. The calibration-design sensitive LOQ puts an upper bound on the estimates. The XI5% analysis can be high, particularly if the intercept should be negative.
This equation is identical to the Maxwell [236,237] solution originally derived for electrical conductivity in a dilute suspension of spheres. Hashin and Shtrikman [149] using variational theory showed that Maxwell s equation is in fact an upper bound for the relative diffusion coefficients in isotropic medium for any concentration of suspended spheres and even for cases where the solid portions of the medium are not spheres. However, they also noted that a reduced upper bound may be obtained if one includes additional statistical descriptions of the medium other than the void fraction. Weissberg [419] demonstrated that this was indeed true when additional geometrical parameters are included in the calculations. Batchelor and O Brien [34] further extended the Maxwell approach. [Pg.572]

Given a space G, let g (x) be the closest model in G to the real function, fix). As it is shown in Appendbc 1, if /e G and the L°° error measure [Eq. (4)] is used, the real function is also the best function in G, g = f, independently of the statistics of the noise and as long as the noise is symmetrically bounded. In contrast, for the measure [Eq. (3)], the real function is not the best model in G if the noise is not zero-mean. This is a very important observation considering the fact that in many applications (e.g., process control), the data are corrupted by non-zero-mean (load) disturbances, in which cases, the error measure will fail to retrieve the real function even with infinite data. On the other hand, as it is also explained in Appendix 1, if f G (which is the most probable case), closeness of the real and best functions, fix) and g (x), respectively, is guaranteed only in the metric that is used in the definition of lig). That is, if lig) is given by Eq. (3), g ix) can be close to fix) only in the L -sense and similarly for the L definition of lig). As is clear,... [Pg.178]

As long as the noise is symmetrically bounded, the L error is minimized by the true function, /(x), independently of the statistics of the noise. [Pg.180]

That is, the real function fix) is the solution to the minimization of Eq. (3) only in the absence of noise id = 0) or when the noise has zero mean (d = 0). This is, in fact, true for all L" norms with 2 [Pg.201]

Figure 7-2. Properties of CAII active site in the COHH state (zinc-bound hydroxide and protonated His 64). (a) Superposition of a few key residues from two stochastic boundary SCC-DFTB/MM simulations with the X-ray structure [87] (colored based on atom-types) the two sets of simulations did not have any cut-off for the electrostatic interactions between SCC-DFTB and MM atoms but used different treatments for the electrostatic interactions among MM atoms group-based extended electrostatics (in yellow) and atom-based force-shift cut-off (in green). Extended electrostatics simulations sampled configurations with the protonated His 64 too close to the zinc moiety while force-shift simulations consistently sampled the out configuration of His 64 in multiple trajectories, (b) Statistics for productive water-bridges (only from two and four shown here) between the zinc bound water and His 64 with different electrostatics protocols... Figure 7-2. Properties of CAII active site in the COHH state (zinc-bound hydroxide and protonated His 64). (a) Superposition of a few key residues from two stochastic boundary SCC-DFTB/MM simulations with the X-ray structure [87] (colored based on atom-types) the two sets of simulations did not have any cut-off for the electrostatic interactions between SCC-DFTB and MM atoms but used different treatments for the electrostatic interactions among MM atoms group-based extended electrostatics (in yellow) and atom-based force-shift cut-off (in green). Extended electrostatics simulations sampled configurations with the protonated His 64 too close to the zinc moiety while force-shift simulations consistently sampled the out configuration of His 64 in multiple trajectories, (b) Statistics for productive water-bridges (only from two and four shown here) between the zinc bound water and His 64 with different electrostatics protocols...

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See also in sourсe #XX -- [ Pg.139 ]

See also in sourсe #XX -- [ Pg.139 ]




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