Stochastic simulation length distribution

First, we present a simple algorithm for generating random fluorescence based on the theory presented in Section II, by using the stochastic Bloch equation, Eq. (4.6) and the classical photon counting distribution, Eq. (4.18). A measurement of the spectral trail is performed from t = 0 to t = ie d. As in the experimental situation, we divide into N time bins each of which has a length of time T For each bin time T, a random number of photon counts is recorded. Simulations are performed following the steps described below ... 

Bascom and Jensen [67], used an approach similar to that of Drzal and coworkers. Wimolkiatisak et al. [70] found that the fragmentation length data fitted both the Gaussian and Weibull distributions equally well. Fraser et al. [71 ] developed a computer model to simulate the stochastic fracture process and, together with the shear-lag analysis, described the shear transmission across the interface. Netravali et al. [72], used a Monte Carlo simulation of a Poisson-Weibull model for the fiber strength and flaw occurrence to calculate an effective interfacial shear strength X using the relationship ... 

Bettstetter, C., H. Hartenstein, X. P6rez-Costa (2002). Stochastic properties of the random waypoint mobility model epoch length, direction distribution, and cell change rate. In Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems, MSWiM 02, New York, NY, USA, pp. 7-14. ACM. 

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