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The "measured" data are from the original study of Kristensen and Hansen.[25] The rate value of 2.5 × 10-9 M s-1 provides the best fit.
In this work we do not consider the heat rate influence on the thermomechanical material behavior and take the rate value as a constant.
We assume that the number of calls are generated through a heterogeneous Poisson distribution (operatorname{Pois}(N,lambda(t))), with the rate value that is a function of time (lambda(t)), as shown in Equation (9).
Hence, we assume that the number of calls are generated through a heterogeneous Poisson distribution (operatorname{Pois}(N,lambda(t))), with the rate value that is a function of time (lambda(t)), as shown in Equation (4) begin{aligned} operatorname{Pois} bigl(N lambda(t) bigr) = e^{-lambda(t)} bigl( lambda(t)^{N} / N! bigr).
For all graphs, the x-axis represents the rate value.
For the pollen unit the highest sampling frequency was found for the categories around the rate value of 10 (Fig. 4 b).
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The rate values became negative when the temperature decreased and when the rate values returned to zero the temperature returned to baseline.
(a) Cumulative distribution functions of the rate values (black for EAST ∗EEPAS and magenta for EAST R+EEPAS).
In the limit of high rates, the rate values of the EAST ∗EEPAS model are double those of the EAST R+EEPAS model (Figure 6b).
If the rate values varied by more than 5%, the sample was reanalyzed.
The rate values can be obtained with some algebraic modifications from (5) as presented in Table 3 (part A).
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CEO of Professional Science Editing for Scientists @ prosciediting.com