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arXiv 2101.00516math.PR
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q-高斯分布的一些性质

Some properties of q-Gaussian distributions

Nahla Ben Salah

摘要:

q-高斯分布是推广高斯分布的概率分布。尽管q-正态分布是流行的,但是当用相应的归一化分布而不是q-正态分布本身来计算期望值时存在问题。本文详细介绍了规范化和非规范化q-矩的两种类型。给出了q-矩的一些性质,建立了它们之间的几种关系,并得到了与q-矩有关的一些结果。此外,我们表明,这些新的q-矩可以被视为一个generrelatization的经典情况下,q = 1。首先,我们确定了q-高斯分布的q-矩。特别地,我们明确地给出了峰度参数。其次,我们计算了q-高斯分布的q-拉普拉斯变换的表达式。最后,我们研究了q独立高斯分布之和的分布。

英文摘要:

The q-Gaussian is a probability distribution generalizing the Gaussian one. In spite of a q-normal distribution is popular, there is a problem when calculating an expectation value with a corresponding normalized distribution and not a q-normal distribution itself. In this paper, two q-moments types called normalized and unormalized q-moments are introduced in details. Some properties of q-moments are given, and several relationships between them are established, and some results related to q-moments are also obtained. Moreover, we show that these new q-moments may be regarded as a generelazation of the classical case for q = 1. Firstly, we determine the q-moments of q-Gaussian distribution. Especially, we give explicitely the kurtosis parameters. Secondly, we compute the expression of the q-Laplace transform of the q-Gaussian distribution. Finally, we study the distribution of sum of q-independent Gaussian distributions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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