Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-02-05 DOI:10.1080/02664763.2023.2301321

R. Nasirzadeh, H. Bakouch

引用次数: 0

Abstract

This study explores zero-inflated count time series models used to analyze data sets with characteristics such as overdispersion, excess zeros, and autocorrelation. Specifically, we investigate the...

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具有随机系数的零膨胀几何 INAR(1) 过程的估计和预测方法比较

本研究探讨了零膨胀计数时间序列模型，用于分析具有过度分散、过多零和自相关等特征的数据集。具体来说，我们研究了...

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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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.