Some Mathematical Properties for Marginal Model of Poisson-Gamma Distribution

IF 1 Q1 MATHEMATICS Kragujevac Journal of Mathematics Pub Date : 2023-01-01 DOI:10.46793/kgjmat2301.105b
M. Bin-Saad, J. A. Younis, And Anvar Hasanov
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引用次数: 0

Abstract

Recently, Casadei [4] provided an explicit formula for statistical marginal model in terms of Poisson-Gamma mixture. This model involving certain polynomials which play the key role in reference analysis of the signal and background model in counting experiments. The principal object of this paper is to present a natural further step toward the mathematical properties concerning this polynomials. We first obtain explicit representations for these polynomials in form of the Laguerre polynomials and the confluent hyper-geometric function and then based on these representations we derive a number of useful properties including generating functions, recurrence relations, differential equation, Rodrigueś formula, finite sums and integral transforms.
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泊松分布边缘模型的一些数学性质
最近,Casadei[4]给出了一个基于泊松-伽马混合的统计边际模型的显式公式。该模型涉及到一些多项式,这些多项式在计数实验中信号和背景模型的参考分析中起着关键作用。本文的主要目的是向有关这种多项式的数学性质提出一个自然的进一步的步骤。我们首先得到了这些多项式的拉盖尔多项式和合流超几何函数的显式表示,然后在这些表示的基础上推导出了一些有用的性质,包括生成函数、递归关系、微分方程、rodrigeka公式、有限和和积分变换。
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CiteScore
2.50
自引率
0.00%
发文量
50
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