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引用次数: 0
摘要
本文引入Martinez-Rodriguez等人(Computational Statistics and Data Analysis, 2011)的扩展Yule分布(EYD)的双变量版本。已发现EYD适合于重尾分布。为了强调模型的实际意义,表明所提出的分布可以看作是独立和同分布的二元伯努利随机变量的随机和的分布。我们还观察到,所提出的二元分布是一个非常灵活的分布,它将二元几何分布作为它的特例。推导了该分布的起源及其概率质量函数、阶乘矩及其条件分布的概率生成函数的显式封闭表达式。得到了BEYD的概率、原始矩和阶乘矩的递归关系。采用极大似然估计方法对分布参数进行估计。为了说明所有这些过程,包括使用来自不同领域的数据的一些应用程序示例。
Abstract Here we introduce a bivariate version of the extended Yule distribution (EYD) of Martinez-Rodriguez et al (Computational Statistics and Data Analysis, 2011). The EYD has been found suitable for heavy tailed distributions. For emphasizing the practical relevance of the model, it is shown that the proposed distribution can be viewed as the distribution of the random sum of independently and identically distributed bivariate Bernoulli random variables. It is also observed that the proposed bivariate distribution is a very flexible distribution and it includes the bivariate geometric distribution as its special case. A genesis of the distribution and explicit closed form expressions for its probability mass function, factorial moments and the probability generating function of its conditional distributions are derived. Certain recurrence relations for probabilities, raw moments and factorial moments of the BEYD are also obtained. The method of maximum likelihood estimation is employed for estimating the parameters of the distribution. Some examples of application using data from different fields are included in order to illustrate all these procedures.