In statistics and probability theory, one the most important statistics is the sums of random variables. After introducing a probability distribution, determining the sum of n independent and identically distributed random variables is one of the interesting topics for authors. This paper presented the probability density function for the sum of n independent and identically distributed random variables such as Shanker, Akash, Ishita, Rani, Pranav and Ram Awadh. In order to determine all aforementioned distributions, the problem-solving methods are applied which is based on the change-of-variables technique. The mth moments for them were also accurately calculated. Besides, the reliability and the mean time to failure of a 1 out of n cold standby spare system has also been evaluated under the Lindley components failure time.
翻译:在统计和概率理论中,最重要的统计数据之一是随机变量的总数。在引入概率分布后,确定n独立和分布相同的随机变量的总和是作者感兴趣的话题之一。本文介绍了n独立和分布相同的随机变量总和的概率密度函数,如Shanker、Akash、Ishita、Rani、Pranav和Ram Awadh。为了确定所有上述分布,采用了基于变换技术的解决问题方法。它们的时间也是精确的计算。此外,在Lindley部件故障时间下,还评估了1个冷置备用备件系统的可靠性和失灵平均时间。