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首页> 外文期刊>Entropy >A Distribution Family Bridging the Gaussian and the Laplace Laws, Gram–Charlier Expansions, Kurtosis Behaviour, and Entropy Features
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A Distribution Family Bridging the Gaussian and the Laplace Laws, Gram–Charlier Expansions, Kurtosis Behaviour, and Entropy Features

机译:桥接高斯定律和拉普拉斯定律,革兰-夏利扩张,峰度行为和熵特征的分布族

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摘要

The paper devises a family of leptokurtic bell-shaped distributions which is based on the hyperbolic secant raised to a positive power, and bridges the Laplace and Gaussian laws on asymptotic arguments. Moment and cumulant generating functions are then derived and represented in terms of polygamma functions. The behaviour of shape parameters, namely kurtosis and entropy, is investigated. In addition, Gram–Charlier-type (GCT) expansions, based on the aforementioned distributions and their orthogonal polynomials, are specified, and an operational criterion is provided to meet modelling requirements in a possibly severe kurtosis and skewness environment. The role played by entropy within the kurtosis ranges of GCT expansions is also examined.
机译:本文设计了一个基于双曲正割上升到正幂的轻快钟形钟形分布族,并在渐近论证上架起了拉普拉斯和高斯定律。然后根据多伽马函数推导并表示矩和累积量生成函数。研究了形状参数的行为,即峰度和熵。另外,基于上述分布及其正交多项式,指定了Gram–Charlier型(GCT)展开,并提供了可满足可能严重的峰度和偏度环境中建模要求的操作准则。还检查了熵在GCT扩展峰度范围内所起的作用。

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