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The two-sided power distribution for the treatment of the uncertainty in PERT

机译:双向功率分布用于处理PERT中的不确定性

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The aim of this paper is to include the Two-Sided Power (TSP) distribution in the PERT methodology making use of the advantages that this four-parameter distribution offers. In order to be completely determined, a distribution of this type needs, the same as the beta distribution, a new datum apart from the three usual values a (pessimistic), m (most likely) and b (optimistic). To solve this question, when using the beta distribution in the PERT context, we are looking for the maximum similarity with the normal and so it is required that the distribution has the same variance as the normal or its same kurtosis, giving rise to the constant variance and mesokurtic families, respectively. Nevertheless, while this approach can be only applied to the beta distribution for some values in the range of the standardized mode, in the case of the TSP distribution this methodology leads always to a solution. A detailed analysis comparing the beta and TSP distribution based on their PERT means and variances is presented indicating better results for the second.
机译:本文的目的是利用这种四参数分布提供的优势,在PERT方法中包括双向功率(TSP)分布。为了完全确定,此类型的分布需要与beta分布相同,除了三个常用值a(悲观),m(最可能)和b(乐观)之外,还需要一个新数据。为了解决这个问题,当在PERT上下文中使用beta分布时,我们正在寻找与正态的最大相似性,因此要求该分布具有与正态相同或相同峰度的方差,从而产生常数方差和中介族。尽管如此,尽管这种方法只能应用于标准化模式范围内某些值的beta分布,但在TSP分布的情况下,此方法始终可以得出解决方案。进行了详细的分析,比较了基于PERT均值和方差的beta和TSP分布,表明第二个结果更好。

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