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On the Inverted Gamma Distribution

机译:关于逆伽玛分布

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If a random variable follows a particular distribution then the distribution of the reciprocal of that random variable is called inverted distribution. In this paper we studied some issues related with inverted gamma distribution which is the reciprocal of the gamma distribution. We provide forms for the characteristic function, rth raw moment, skewness, kurtosis, Shannon entropy, relative entropy and Renyi entropy function. This paper deals also with the determination of R = P[Y < X] when X and Y are two independent inverted gamma distributions (IGD) with different scale parameters and different shape parameters. Different methods to estimate inverted gamma distribution parameters are studied, Maximum Likelihood estimator, Moments estimator, Percentile estimator, least square estimator and weighted least square estimator. An empirical study is conducted to compare among these methods.
机译:如果随机变量遵循特定分布,则该随机变量的倒数分布称为倒数分布。在本文中,我们研究了一些与反伽玛分布有关的问题,反伽玛分布是伽玛分布的倒数。我们提供了特征函数的形式,rth原始矩,偏度,峰度,Shannon熵,相对熵和Renyi熵函数。当X和Y是两个具有不同比例参数和不同形状参数的独立的反向伽马分布(IGD)时,本文还涉及确定R = P [Y

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