[0, 1] truncated fréchet-gamma and inverted gam-ma distributions

S. Abid, R. Abdulrazak
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引用次数: 10

Abstract

In this paper, we introduce a new family of continuous distributions based on [0, 1]] truncated Frechet distribution. [0, 1]] Truncated Frechet Gamma ([0, 1]] TFG) and truncated Frechet inverted Gamma ([0, 1]] TFIG) distributions are discussed as special cases. The cumulative distribution function, the rth moment, the mean, the variance, the skewness, the kurtosis, the mode, the median, the characteristic function, the reliability function and the hazard rate function are obtained for the distributions under consideration. It is well known that an item fails when a stress to which it is subjected exceeds the corresponding strength. In this sense, strength can be viewed as "resistance to failure." Good design practice is such that the strength is always greater than the expected stress. The safety factor can be defined in terms of strength and stress as strength/stress. So, the [0, 1]] TFG strength-stress and the [0, 1]] TFIG strength-stress models with different parameters will be derived here. The Shannon entropy and Relative entropy will be derived also.
[0,1]截断的伽玛和倒伽玛分布
本文在[0,1]]截断Frechet分布的基础上,引入了一类新的连续分布。[0,1]]截断的Frechet Gamma ([0,1]] TFG)和截断的Frechet倒Gamma ([0,1]] TFIG)分布作为特例讨论。得到了所考虑的分布的累积分布函数、第n阶矩、均值、方差、偏度、峰度、众数、中位数、特征函数、可靠性函数和危险率函数。众所周知,当一个项目受到的压力超过相应的强度时,它就会失效。从这个意义上说,力量可以被看作是“对失败的抵抗力”。良好的设计实践是这样的,强度总是大于预期的应力。安全系数可以根据强度和应力定义为强度/应力。因此,本文将推导不同参数下的[0,1]]TFG强度-应力模型和[0,1]]TFIG强度-应力模型。并推导了香农熵和相对熵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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