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首页> 外文期刊>Journal of applied statistics >A dependent counting INAR model with serially dependent innovation
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A dependent counting INAR model with serially dependent innovation

机译:循环依赖性创新的依赖计数inar模型

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摘要

To provide a more flexible model of count data, we extend the first-order integer-valued autoregressive model with serially dependent innovations based on the dependent thinning operator. This model is appropriate for modelling the number of dependent random events affecting each other when the number of new cases depend on the previous count through a linear functional relationship. Several statistical properties of the model are determined, parameters are estimated by some methods and their properties are studied via simulations. This study was carried out to investigate the efficiency of the new model by two real count data sets, the number of contagious diseases and robbery.
机译:为了提供更灵活的计数数据模型,我们将一阶整数值自回归模型扩展了基于依赖变薄操作员的串行依赖性创新。 当新案例的数量取决于前一计数通过线性功能关系时,该模型适用于建模影响彼此影响的依赖的随机事件的数量。 确定模型的几种统计特性,通过一些方法估计参数,并且通过模拟研究了它们的性质。 进行了这项研究,以调查新模型的效率,通过两个实数数据集,传染性疾病和抢劫的数量。

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