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Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme

机译:输入输出方案下呼叫完成成功概率的建模和蒙特卡洛模拟

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We present a model of Probability of Success Call Completion (PSCC) from a typical I/O procedure and computationally tested through Monte Carlo simulation with Gaussian profiles. Under the I/O view the input and transfer functions are prepared without to abandon the randomness nature of the phenomenology. Because kernels are required by the I/O formulation, we have assumed that the Dirac-Delta functions play the role of kernels in according to the I/O representation. The results would indicate that under certain circumstances the formulation I/O is valid by a 10% of error respect to the Meo-Ajmone model. However, the weakness of the I/O approach would be in the extraction of a large number of free parameters, which do not necessarily encompasses the dynamic of phenomenon.
机译:我们从典型的I / O过程中提出成功呼叫完成概率(PSCC)的模型,并通过具有高斯分布图的蒙特卡洛模拟进行了计算测试。在I / O视图下,准备输入和传递函数时不会放弃现象学的随机性。由于I / O公式需要内核,因此我们假定Dirac-Delta函数根据I / O表示起内核的作用。结果表明,在某些情况下,相对于Meo-Ajmone模型,公式I / O的错误误差​​为10%。但是,I / O方法的弱点在于提取大量自由参数,这些参数不一定包含现象的动态性。

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