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Model Gompertz

For this model, the factor m introduces asymmetry. The asymmetrical data set shown in Figure 11.18a is fit well with the Gompertz model. [Pg.245]

Figure 3.6a Absolute sensitivity coefficients of the Gompertz model. Each curve portrays the time course of the sensitivity of the model to a specific parameter a (+), b (open circles), and Vq ( ). Figure 3.6a Absolute sensitivity coefficients of the Gompertz model. Each curve portrays the time course of the sensitivity of the model to a specific parameter a (+), b (open circles), and Vq ( ).
Suppose we had established that the Gompertz model does reliably describe the growth of a particular tumor form and that we wish therefore to estimate... [Pg.92]

Figure 3.7 Frequency and cumulative frequency distributions of 3D-optimal sampling times for the Gompertz model, given the observations for subject 4. Vertical lines split the cumulative empirical distribution into equal probability regions. Figure 3.7 Frequency and cumulative frequency distributions of 3D-optimal sampling times for the Gompertz model, given the observations for subject 4. Vertical lines split the cumulative empirical distribution into equal probability regions.
Li J, J-D Gu, L Pan (2005) Transformation of dimethyl phthalate, dimethyl isophthalate, and dimethyltere-phthalate by Rhodococcus rubber Sa and modeling the process using the modified Gompertz model. Int Biodet Biodeg 55 223-232. [Pg.572]

It was found that is a function of temperature but the model was found to give a better fit than analytical expressions like the Avrami model or the modified Gompertz model (Kloek, Walstra and Van Vliet 2000). The main advantage of this model is that as it is formulated as a differential equation, it can be used to predict isothermal as well as dynamic crystallization. However, this model does not consider the polymorphism of the material which is a critical point in the crystallization of cocoa butter. Another contribution is the model of Fessas et al. (Fessas, Signorelli and Schiraldi 2005) which considers all the transitions possible between each... [Pg.538]

Recently, Foubert et al. (43) developed a new, empirical model (Foubert model) to predict the kinetics of fat crystallization. Other authors have used a reparameterized Gompertz equation (Gompertz model) to empirically describe crystallization kinetics of fats (44, 45). [Pg.110]

Using linear stability analysis, classify the fixed points of the Gompertz model of tumor growth TV = -aN n(bN). (As in Exercise 2.3.3, TV(r) is proportional to the number of cells in the tumor and a,b>Q are parameters.)... [Pg.40]

According to properties of the function Y = Y(t), Eq. (3.5) has properties of common growth curves. Hence, we attempt to use value K obtained by Gompertz model approximation as the value K for Eq. (3.4). In order to get Gompertz model parameters, methods like Sanwa method, reciprocal summation method can be used to solve the needed parameters. The introduction of Sanwa method is that the entire time series is divided into intervals which are equal to each other, and the logarithms sum of three observation values is used to calculate the parameters. [Pg.44]

Example 3.1 For the example in Sect. 3.3, customer demand dynamic equation model and B. Gong Spautz (B. Gompertz) model are used to forecast 2009 customer demand, forecast results are ... [Pg.53]


See other pages where Model Gompertz is mentioned: [Pg.87]    [Pg.92]    [Pg.298]    [Pg.90]    [Pg.93]    [Pg.229]    [Pg.36]    [Pg.37]    [Pg.37]    [Pg.37]    [Pg.43]    [Pg.43]    [Pg.36]    [Pg.37]    [Pg.37]    [Pg.37]    [Pg.43]    [Pg.43]   
See also in sourсe #XX -- [ Pg.87 , Pg.93 , Pg.94 , Pg.95 ]




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Modified Gompertz model

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