INAR(1) process with weighted negative binomial Lindley distributed innovations and applications to criminal and COVID-19 data

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-04-15 DOI:10.1080/03610918.2024.2338184

Zohreh Mohammadi, Hassan S. Bakouch, Predrag M. Popović

引用次数: 0

Abstract

In this study, we introduce a pliant stationary first-order integer-valued autoregressive (INAR) process with weighted negative binomial Lindley innovations. The main properties of the model are de...

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具有加权负二项林德利分布创新的 INAR(1) 过程及其在犯罪和 COVID-19 数据中的应用

在本研究中，我们引入了一个具有加权负二项林德利创新的柔性静态一阶整数值自回归（INAR）过程。该模型的主要性质是...

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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.