输入输出方案下呼叫完成成功率的建模与蒙特卡罗模拟

H. Nieto-Chaupis
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引用次数: 1

摘要

我们从一个典型的I/O过程中提出了一个成功调用完成概率(PSCC)模型,并通过高斯分布的蒙特卡罗模拟进行了计算测试。在输入/输出视图下,输入函数和传递函数是在不放弃现象学随机性的前提下准备的。由于I/O公式需要核,因此我们假设根据I/O表示,Dirac-Delta函数扮演核的角色。结果表明,在某些情况下,公式I/O是有效的,相对于Meo-Ajmone模型有10%的误差。然而,I/O方法的弱点在于提取大量的自由参数,这些参数不一定包含现象的动态。
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Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
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.
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