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Characterization of curves

Several of the standard statistical distributions are described by Hahn Shapiro (Statistical Models in Engineering, 1967) with mention of their applicability. The most useful models are the Gamma (or Erlang) and the Gaussian and some of their minor modifications. As an illustration of something different the Weibull distribution is touched on in problem P5.02.18. These distributions usually are representable by only a few parameters that define the asymmetry, the peak and the shape in the vicinity of the peak. The moments are such parameters. [Pg.496]

Quantities called moments are derivable from any set of data, typically (C,t) data. The four that are most commonly used are numbered first, second, etc, and are also named. In terms of impulse response data, they and their formulas are, [Pg.496]

How the various moments can be calculated from the transfer function of a process without data is described in problem P5,02.01. [Pg.497]

In the general field of statistics, the RTD of an n-stage CSTR battery is called an Erlang distribution, or a Gamma distribution when n is not integral. Then (n-1) is replaced by T(n) in the equation given in Section [Pg.497]

The value of n is the only parameter in the equation. Four main methods can be used to find its value when the RTD is known experimentally or by calculation. [Pg.497]


The Erlang number /leriang. nd the variances O (t ) and 0 (t) are single parameter characterizations of RTD curves. The skewness y (t), and higher moments can be used to represent RTD curves more closely if the data are accurate enough. [Pg.2083]

Fig. 3.3. Stress-particle velocity characterizations of many materials have been documented. The explosive cross curves superposed on the materials responses provide approximate loading stress levels to be determined from the intersection of the explosive and material curves. For example, the detonation of TNT produces a pressure of 25 GPa in 2024 aluminum alloy. Fig. 3.3. Stress-particle velocity characterizations of many materials have been documented. The explosive cross curves superposed on the materials responses provide approximate loading stress levels to be determined from the intersection of the explosive and material curves. For example, the detonation of TNT produces a pressure of 25 GPa in 2024 aluminum alloy.
Indicator electrodes are used both for analytical purposes (in determining the concentrations of different substances from values of the open-circuit potential or from characteristic features of the polarization curves) and for the detection and quantitative characterization of various phenomena and processes (as electrochemical sensors or signal transducers). One variety of indicator electrode are the reference electrodes, which have stable and reproducible values of potential and thus can be used to measure the potentials of other electrodes. [Pg.17]

Warscheid, B. Fenselau, C. Characterization of Bacillus spores species and their mixtures using possource decay with a curved-field reflectron. Anal. Chem. 2003, 75, 5618-5627. [Pg.276]

Many practical applications of cure characterization involve samples for which the data required to convert isocyanate absorbance to concentration is unavailable. The emphasis is often placed on rapid analysis of many samples rather than an exhaustive characterization of a single sample. It is particularly desirable to develop a procedure which can determine the rate constants describing the cure reaction without converting the infrared absorbance curve to concentration. This has been accomplished by normalizing the data in such a way that the rate constants are determined from the shape of the cure curve. [Pg.243]

A nonlinear curve fitting procedure of the experimental (Eq. 4.28) to the theoretical (Eq. 4.27) 2D autocovariance function can serve to perform some fundamental characterization of the 2D separation. The total volume (Vy) and the peak height dispersion (/a() can be readily measured in the chromatogram, thus the number of components (m) and the peak widths (a, and ay) can be estimated (Marchetti et al., 2004). [Pg.75]

For many polymers K and a values can be found in the Polymer Handbook [23]. In a recent study by Vanhee et al. [30] the universal calibration has been applied using the polystyrene (PS) calibration curve to characterize rigid rod poly(p-phenylenes) (PPP). It turned out that due to its larger persistence length, PPP with a certain mass requires a much larger volume than PS for the same molecular weight. Ron et al. employed universal calibration for the characterization of erodible copolymers [58]. [Pg.230]


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