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Bivariate noncentral distributions: An approach via the compounding method

机译:二元非中心分布:通过复合方法的一种方法

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摘要

This paper enriches the existing literature of bivariate noncentral distributions by proposing bivariate noncentral generalised chi-square and F distributions via the employment of the compounding method with Poisson probabilities. This method has been used to a limited extent to obtain univariate noncentral distributions; this study extends some results in literature to the corresponding bivariate setting. The process which is followed to obtain such bivariate noncentral distributions is systematically described and motivated. Some distributions of composites (univariate functions of the dependent components of the bivariate distributions) are derived, in particular the product, ratio, and proportion. Furthermore, an example of possible application is given and discussed to illustrate the versatility of the proposed models.
机译:本文通过使用具有Poisson概率的复合方法,提出了二元非中心广义卡方和F分布,丰富了二元非中心分布的现有文献。这种方法已在有限的范围内用于获得单变量非中心分布。这项研究将文献中的一些结果扩展到相应的双变量设置。获得此类双变量非中心分布所遵循的过程得到系统地描述和激励。得出复合材料的某些分布(双变量分布的从属分量的单变量函数),特别是乘积,比率和比例。此外,给出并讨论了可能的应用示例,以说明所提出模型的多功能性。

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