由序列依赖创新驱动的混合 BAR(1) 模型及其应用

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-07-11 DOI:10.1080/03610918.2024.2376871

Jinmei Yue, Danshu Sheng, Feilong Lu

引用次数: 0

摘要

为了更好地分析有界支持的依赖性计数数据，本文提出了一阶混合二项自回归（BAR(1)）模型，该模型是利用 Pegram 操作法构建的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A mixed BAR(1) model driven by serially dependent innovation with application

To better analyze dependent count data with bounded support, this paper proposes a first-order mixture binomial autoregressive (BAR(1)) model, which is constructed via making use of the Pegram oper...

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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.